Hodges' Model: Welcome to the QUAD: Search results for robots

Hodges' model is a conceptual framework to support reflection and critical thinking. Situated, the model can help integrate all disciplines (academic and professional). Amid news items, are posts that illustrate the scope and application of the model. A bibliography and A4 template are provided in the sidebar. Welcome to the QUAD ...

Showing posts sorted by date for query robots. Sort by relevance Show all posts
Showing posts sorted by date for query robots. Sort by relevance Show all posts

Wednesday, September 30, 2026

cfp Special issue: Int. Journal of Social Robotics "Towards Ethical Deception in HRI"

Dear colleagues, 

We would like to invite you to submit your works at the special issue on "Towards Ethical Deception in HRI" in International Journal of Social Robotics whose submission deadline is 19 December 2026. 

The special issue explores the design and ethical implications of robot deception in human–robot interaction, emphasising autonomy, well-being, and the protection of vulnerable populations. 

Read below further information, and please do not hesitate to contact us if you have any questions. 

Kind regards,
Alessandra Rossi 

Alessandra Rossi, PhD 
Assistant Professor Fellow of the Higher Education Academy Department of Electrical Engineering and Information Technologies - D.I.E.T.I. 
University of Naples Federico II Via Claudio, 21, 80125 - Naples, Italy 

w-page: https://alessandrarossi.net 
e-mail address: alessandra.rossi @ unina.it 
e-mail address: a.rossi @ herts.ac.uk

This Topical Collection focuses on deception in human-robot interaction and its ethical implications. In particular, robot deception is a complex yet potentially beneficial strategy. Intentional behaviours such as white lies or deliberate errors can foster trust, reduce distress, and improve therapeutic or educational outcomes. Robots may strategically omit information to maintain psychological stability or simulate imperfections to appear more relatable. While deception in human–robot interaction remains ethically controversial, its applications can enhance empathy, engagement, and learning. Ultimately, the capacity for controlled, prosocial deception highlights the need to reconsider moral frameworks governing social robotics, emphasizing the potential for nuanced, emotionally adaptive interactions.

This collection aims at exploring a design-centred and ethical-centred development of robotic deceptive behaviours for a successful human-robot interaction that, at the same time, is ethically acceptable and respect the autonomy and well-being of population, specially vulnerable individuals such as older people, patients and children. This Topical Collection is open to a broad audience from academia and industry researching social robotics, robot ethics, cognitive science, psychology, and philosophy of technology. It aims to attract an interdisciplinary audience that includes academics, industry researchers, designers, and policy-makers interested in exploring the integration of deceptive techniques in designed-centred and ethics-centred HRI. By collecting works addressing disciplinary and methodological boundaries, this collection seeks to promote a shared understanding of how social robots might responsibly employ complex behavioural strategies in human-centred contexts, such as education, healthcare and service.

Submission guidelines

All papers must be prepared in accordance with the Submission Guidelines. Articles for this Topical Collection should be submitted via our submission system, Editorial Manager. During the submission process you will be asked whether you are submitting to a Collection, please select "Towards Ethical Deception in HRI" from the dropdown menu.

Submitted papers should present original, unpublished work, relevant to one of the topics of the Topical Collection. All papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation by at least two reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process. Final decisions on all papers are made by the Editors-in-Chief.

My source: https://www.bcs-sgai.org/?section=server

Sunday, December 07, 2025

AI - World Models

'What Is a World Model?

World models are neural networks that understand the dynamics of the real world, including physics and spatial properties. They can use input data, including text, image, video, and movement, to generate videos that simulate realistic physical environments. Physical AI developers use world models to generate custom synthetic data or downstream AI models for training robots and autonomous vehicles.'

https://www.nvidia.com/en-us/glossary/world-models/

In healthcare a 'world model' is slightly more expansive, hence the importance of experienced humans. We call these - nurses, doctors, physiotherapists, occupational therapists, social workers and many other professions, support workers and disciplines. They learn and train for many years and must continue to learn and unlearn throughout their careers. Their work and engagement is shaped and directed by human values, which are in turn informed by social change, evidence-based research, professional guidance, policy and law.

individual
|
INTERPERSONAL : SCIENCES
humanistic -------------------------------------------  mechanistic
SOCIOLOGY : POLITICAL
|
group-population



WORLD MODEL




Wednesday, September 03, 2025

TEL us a story ... Hard, Soft and being Smart

Sorting papers I'd saved I came across -

David Mossley and Clare Saunders: A revolution in philosophy teaching? from the The Philosophy Magazine. 3rd quarter. 2013. pp. 40-45. 

Checking back, I see I posted and cited this item in 2013:


In the decade-plus since, how things have changed in tech, education and philosophy!

The story is ... that around this time I needed a new website and in the past I practised computer aided learning. Or should I say mCAL, microcomputer aided learning on the ZX81 and BBC Micro (related citations below). In 2013-2014, I started a PhD (as noted elsewhere) thinking I could recover and update some IT skills. Could I recapture the CAL days, by picking up TEL - technology enhanced learning? I stepped outside healthcare, and nursing specifically. I see now this was an error, but of course I still venture off-piste. The latest detour is even more extreme? On a personal - psychological level I'm visiting a subject maths - formal methods that simultaneously fills me with wonder (recognising its power and utility) and yet terrifies me with its complexity, made me feel sick at school, as a pre-teen and after.

My 'research question' was poorly formulated - which I did recognise. Two years were not wasted, far from it. The journey then was also driven by personal circumstances, married with events in 2007, 2010 and then 2015. 
 
Sticking with the current conference theme, I noticed a call for the 7th International Soft Computing and Engineering Applications Conference. Selected themes from track #4 include:


Track 4: Soft Computing for Smart Sustainable World

Smart agriculture and aquaculture
Smart cities
Smart communication
Smart disaster monitoring and management
Smart earth system
Smart education
Smart elderly care
Smart environment and ecosystems
Smart governance
Smart healthcare
Smart homes and buildings
Smart learning
Smart living
Smart machines and robots
Smart materials and fabric
Smart medicine
Smart social services
Smart villages
Smart wearables and implants

Amid all the (understandable) emphasis on 'smart' we need to retain a place for the human. That's the challenge in simultaneously considering the hard and soft of today's and tomorrow's world.

Citations

1982 CAPA: COMPUTER AIDED PATIENT ASSESSMENT, Sinclair ZX81, advertised in Nursing Mirror (see below) provided on audio cassette tape.

1983 THE NURSING PROCESS – Computer Aided Learning program, BBC Micro, published by Open Software Limited (OSL)

1984 HAEM. Blood Groups Computer Aided Learning program, BBC Micro – (OSL).

1989 SHADES OF GREY, Computer Aided Learning program, BBC Micro. Simulation of nuclear weapons, Based on Fanchi, J. Local effects of nuclear weapons, BYTE, Volume 11. Issue 13. Dec., pp. 143–155. Computer Aided Learning program, BBC Micro, published by Open Software Limited..

Jones, P. (1986) Computing in Nursing NEWS. Computerised Patient Assessment. Nursing Times. 85: 5. Sep 3-9;82(36):63-5. PMID: 3532039 (Describes 'CAPA', a BBC microcomputer program for student nurses.)

Jones P. 1988 Thunderbirds are Go? (Impact of technology in society, disasters, macro-engineering). Popular Computing Weekly.

Jones, P. (1989) Computers in Nursing NEWS. Creating a Program. Nursing Times. Feb 1-7;85(5):66-8. PMID: 2648342 (Describes 'HAEM', a BBC microcomputer program for student nurses on blood and blood groups.)

Jones, P. (1989) Information Technology is Good For You! (Effects of information technology) IT in Nursing, BCS-Nurs. Specialist Group. 1,1

Jones, P. (1990) Creating a Community Mental Health IS (Creation of a community mental health resource centre - a multidisciplinary research project). IT in Nursing and Paper at BCS NSG Conference. 2,4.

Jones, P., & Beckingham, D. (1991) The Ins and Outs of a small mental health Information System. Healthcare Computing 91 Conference Paper.

Jones, P. (1992) Nursing: All in the mind and machine? (Models of nursing and computing). British Computer Society -Nursing Specialist Group Conference Paper

Saturday, March 29, 2025

Disability and the rise of 'mental health', or something else?


individual
|
INTERPERSONAL : SCIENCES
humanistic ------------------------------- mechanistic
SOCIOLOGY : POLITICAL
|
group
mental DISABILITY

physical DISABILITY

social DISABILITY
The Times 28 March 2025, p.1.

POLITICAL disability^


Chris Smyth, One in four Britons claim they have a disability, The Times, 28 March 2025, p.1.

https://www.thetimes.com/profile/chris-smyth

See also - (not reliable however):

Google Ngrams: mental illness, mental health, well being, mindfulness, 1800-2022

https://books.google.com/ngrams/graph?content=mental+illness,+mental+health,+well+being,+mindfulness&year_start=1800&year_end=2022&corpus=en&smoothing=3

^The Government are deploying AI to figure out:

  • how to raise an army, air force, navy, space and cyber force?
  • how to fight a war?
  • how to sustain a workforce, to support an ageing population.
An improbable response:

Robots, drones, tech-enhanced machines with AI.

Thursday, February 20, 2025

Book review: #5 - Handbook on the Ethics of AI

If there is an overall theme to the book it is - rather inevitably -   anthropomorphism. Some argue it is consequential in nature due to the risks we are running. Sandry's chapter 10 Anthropomorphism and its Discontents begins by highlighting duality, dichotomies, and  oppositions that instantly come into effect in this emerging  theoretical, practical and policy field. If a term anthropomorphic can be 'loaded' this one carries extra baggage: history, religion, natural, aesthetic, philosophy, physical, existential. The dual issue of making a machine that looks human; versus, machines that could deceive humans (used remotely today and in situ in the future?) is considered. In our interacting with AI Tech, I found intention (and attention) of specific interest. Sandry seeks definitions, starting with dictionaries, the discussion is helpful across arts too. The reader is left well briefed and technically too: intrinsic and extrinsic forms, the role of the intentional stance, 3-factors. ...

Health is not a primary focus of the book. The index does not list health, medicine, nursing, at least not where they may be expected. The index is comprehensive but I wonder if it could be improved. Care is suggested through social robotics (p.147). Design figures again, anthropomorphically of course (p.147). Specific attention to ethics and Taking Care With Language are given (sections 6-7). I scribbled! again about care for tech - in the material, energy, and production 'costs' in an ecological sense. SUVs annoy me (sorry!) are they all necessary? On language, I thought back to McDermott D (1985) Artificial Intelligence Meets Natural Stupidity, In MIND DESIGN, Haugeland J (Ed), MIT Press, London, p.144-145:


Balance in subjectivity and objectivity of stances and resulting content / conclusions can be difficult to achieve and represent. The latter section prompts respond to frustration with the term anthropomorphism. I found myself in a couple's lounge, as a community mental health nurse, acutely aware of the role of proxies in dementia care; as Sandry described Paula Sweeney's 'fictional dualism' (8, 150). Hodges' model fits well here too, regards anxiety. To socialbots, I added carebots. There seems potential in sociomorphing.

As noted previously, reflection and relation-al points litter the text. In Jecker's chapter 11 A Relational Approach to Moral Standing for Robots and AI this is more explicit. Jecker refers to care of others - as animals too. In computer science and seeking to retain a socio-technical perspective, I've seen potential in capability and maturity frameworks. Section 2 provides some discussion of the former. One of the first words I looked up in the index was isomorphic. It wasn't listed but I found reference to it on page 157: '... a community of robots psychologically isomorphic to to human beings that share our psychology ...'. Maths is a focus here, even though I must try to utilise AI to aid my learning and understanding. This is - must be an outcome of reading HEoAI.

The section on (self-)counsciousness is engaging and not limited (again) to machine intelligence. Subjectivity arises again. I wrote a note re. the precautionary principle, my 'prompt' the ethical principle. A gift was dicovered in 3. A CONCEPTUAL REFLECTION and within 3.2 Relational Ethics, preceded by the potential of Kant, utilitarian and vurtue ethics. While not wishing to virtue signal I've long speculated on how other cultures could inform nursing theory and models of care. Jecker incorporates the African philosophy of ubuntu in relational ethics. Student's would enjoy this, especially as Jecker (Source: Author) provides tables laying out the ethical approaches and robot & AI capabilities. This can also encompass older adults and care contexts with social robots. Nussbaum's capabilities applied to human development is also adopted here - another useful reminder:

(And, once again I recall Nussbaum's talk on Aristotle.) In post #4 I wrote of the rubbish scene in the film A.I. Artificial Intelligence, but it's here (p.166) that I wrote the note. There is so much I'm skimming over - believe it not.

The conclusion in mentioning a hybrid future consisting of both humanistic and mechanistic agents appears to find an additional theoretical and practical ally in Hodges' model?


Chapter 12 by Navas is AI Ethics, Aesthetics, Art and Artistry visits the history and philosophy of this subject too, esp. from 1700s. With Žižek and Deleuze there is much prepatory reading for would-be undergrads - and general readers keen to have an awareness of contemporary issues. There is quite a triad here - disassembled - across several sections. I have quoted from the volume many times, but p.179 concerns empathy: 
'Empathy challenges the ongoing optimization of technology, because it takes time to exercise it. A person needs time to think about whatever issue, situation, thing, or person they may empathize with. In other words, empathy is essential for humans to understand and figure their relation to others and their surroundings. Empathy, if practiced reflexively, can lead to critical thinking. which may not lead to clear results but the activity may and often does end in "wasted" time if framed under the drive for efficiency, which is clearly something Al is designed to achieve. And lastly, empathy, because it has been foundational to art, is also part of art's long-term resistance against capitalism's exponential dependence on speed of production. At the core of AI ethics, then, we find speed of production and consumption coming in conflict with human existence itself. Humans are proving to be inefficient actors in the very system they built for their own benefit, which obsessively demands faster cultural activity from people, which (to be blunt) translates to an unapologetic and incessant desire for profit.' pp.179-180.
Section 6 on creativity AND speed is fascinating, especially as human-machine (brain) interfaces develop apace. Concerned as I am with what is a metacognitive tool, 8 Metacreativity formed the conclusion of chapter 12. The notes refer to generative coding which has come up in various webinars.

Silent Running: Film
Briefly, chapter 13 covers AI and the Environment. It is amazing (or not) how in a few sentences your mind can be changed? From "Really!" upon reading 'species culling', to this being explained in the crown-of-thorns starfish (hence COTSbot) and the toll on coral in Queensland. There are robots-for-ecology. I smiled returning to Silent Running's Dewey, Huey, and Louie becoming reality. Facinating point in: what is collective must be recognised in terms of causation. Appropriatly, PEAS is an acronym: probalistic weather event attribution studies are a reality in conjunction with remote sensing and tracking.

Drones are also developing apace, and applied robotics - tree-climbing. Less reassuring (adding to nature's precarity?) are artificial insects to undertake pollination; more positively reducing the impact of chemical and toxic spills. Simulation for training is well established in medicine and nursing; section 2.3 addresses this were PEAS form super-ensembles of data (I like that). PEAS can also have a role in determining an evidence-base and demonstrating it is hoped provenance for that evidence in the movement of populations, for example, climate refugees. In conflicts, human rights and justice, forensic architecture is of course well established: Forensic Architecture (Care Forensics?)

The summative nature in closing chapter 13 is a helpful approach which I will possibly try to duplicate.

Socio-technical approaches are found in chapter 14 Uses and Abuses of AI Ethics by Frank & Klincewicz. Understandably, boundaries play a large role, as you would expect in deliberating value and values, moral patients and agents. The Collingridge dilemma is discussed, regards putting in place controls for a technology while it is still in development, otherwise control may be lost (p.213). Diversity, a story of the moment - closes out this chapter. There is a 'nice' continuity across chapters to
15 The (Un)bearable Whiteness of AI Ethics by Syed Mustafa Ali et al. (the first note highlights the format is a dialogue). The (colonial) politics of north-SOUTH are duly noted and Africa (section 4). Section 8 points to technological (and health) colonialism. I take as a positive that the 'hyphen' also has a place (S.10).

The Savage Mind

Again related, as per the book's structured parts, chapter 16 Ethics beyond Ethics: AI, Power, and Colonialism by Kim prompts the reader to revisit the concepts of 'other', alterity even if 'understood'. I pencilled 'Savage Mind' here. Machines are posited as the colonial other. There will be a repeated argument as in response to humankind's going back to the moon (to stay) and on to Mars. We should sort Earth out first. So too for inclusion and the machines. What about the people who are excluded, disenfranchised and increasingly so? I wondered (previously) if (even) more could be made a transparency? Noting the word subaltern, it appears this has suddenly been attributed to Ukraine? On disability and ableism reminded also of radio history and 'Does He Take Sugar?'

The statement: 'Machines are perceived as distant - temporally, spatially, or socially - and different from human culture.' p.234. Is, so true.

INDIVIDUAL
|
      INTERPERSONAL    :     SCIENCES               
HUMANISTIC  --------------------------------------  MECHANISTIC      
 SOCIOLOGY  :    POLITICAL 
|
GROUP
cognitive - conceptual
'spaces'
distance:
time, space
human cultures
societies
difference


'Binary-opposition' and the need to think outside of this is acknowledged. And as if (perhaps) to stress both distance and proximity, I wrote 'mobius' in the margin (p.238). Hutchings (2015) sounds a valuable reference: 'Ethical Encounters - Encountering Ethics'. The books I've read contribute to evidence to revalidate my nurse registration. I realise I've sold-myself short in listing the book's titles. Although not discussed here the remaining chapters are excellent critical reading at a time when diversity, equality and inclusion policies are being rolled-back and undone. I will highlight these:

  • 17 Disabling AI: Biases and Values Embedded in Artificial Intelligence (quoted in 'Do you fit the description?')
  • 18 The AI Imaginary: AI, Ethics and Communication
  • 19 Feminist Ethics and AI: A Subfield of Feminist Philosophy of Technology
  • 20 Buddhism and the Ethics of Artificial Intelligence
  • 21 Queering the Ethics of AI

In chapter 16 'Ethics beyond Ethics...' just before the conclusion I will carry forward a sentence -
'Forming an identity requires that "I identify something or someone beyond me" - with one or more categories persons, non-human others, acts, ideals, values, or social systems' (p.243).
- and the points following, and end there.

Many thanks to David J. Gunkel (Editor), the many contributors, and Edward Elgar Publishing Ltd for my copy. I have greatly enjoyed and learned much from reading this book.

Handbook on the Ethics of Artificial Intelligence. David J. Gunkel (ed.). Cheltenham, UK: Edward Elgar Publishing Ltd. ISBN: 978 1 80392 671 1245
https://www.e-elgar.com/shop/gbp/handbook-on-the-ethics-of-artificial-intelligence-9781803926711.html





Images:
Silent Running 
https://cdna.artstation.com/p/assets/images/images/016/839/904/large/david-eagan-screenshot001.jpg?1553673214
The Savage Mind
https://en.wikipedia.org/wiki/File:The_Savage_Mind_(first_edition).jpg

Related previous posts: 'general + AI'

*That early streak of competitiveness was clearly educated out of me.

Sunday, February 16, 2025

Book review: #4 - Handbook on the Ethics of AI

Chapter 7 is no doubt one of the engine rooms of this book. In AI Ethics and Machine Ethics, John-Stewart Gordon follows preceding authors citing Nyholm and others. This probably helps the overall coherence of the book, and underlines what is a dynamic and emerging field. Reading 'What is AI ethics?' (p.98), I made a note about our humanity's cognitive house-keeping (and other life-forms?) executed through sleep, the ability to unlearn, and forget. Efforts to mitigate machine bias are provided in a list 1-5 (p.100). As observed previously, this author is also thinking on their feet (and very well too) with 'Source: Author's own' in a figure for the systemic place of machine ethics and another (table) 7.1 'Four approaches to machine ethics'.

3.4 considers the challenges involved in developing ethical AI systems. As in healthcare, we see where the (problem of) 'many hands' emerges from:
'Developing ethical AI systems requires collaboration between computer scientists, ethicists, and other stakeholders, which can be challenging due to differences in expertise, terminology, and perspectives. Computer scientists bring technical expertise to the table, while ethicists provide insights on moral principles and values that should guide AI behavior. However, these experts often operate within their own domains and may lack a common language to effectively communicate and collaborate. 
Other stakeholders, such as policymakers, industry professionals, and end-users, also play vital roles in shaping the ethical development of AI systems. They bring diverse perspectives, needs and expectations that need to be considered and balanced during the design, implementation, and regulation of AI technologies. For instance, policymakers are responsible for creating guidelines and regulations that ensure the safe and responsible use of AI, while industry professionals must adhere to these standards and navigate the practical challenges of integrating ethical considerations into their AI-driven products and services.' p.104.
The solution includes having interdisciplinary and ethnically diverse teams, cross-disciplinary training, and a more holistic and comprehensive approach to AI development. Unintended consequences (a news item today (13th Feb 2025) are discussed, the dual-use nature of AI and technological 'delivery' surveillance acting for good and potentially ill (China's - Social Credit Point System).

AI ethics is also itself apparently a conceptual framework (p. 99,107).

What is permitted by law in a State clearly varies. Chapter 8 deals with From Ethics to Law: Why, When, and How to Regulate AI. Collingridge is another recurring citation, and presents a dilemma no-less (Section 3. p.116); one to follow up  (Coeckelbergh too, chap 9). I've always felt that some knowledge of social and economic history is a good foundation. History is reflected here in resort to 'masterly inactivity' (p.118) and regulatory approaches - as debated this past week at an AI Action Summit in France. 

I can still recall the sense of competition in having time in the sandpit at infants school.* Software developers will use sandboxes to develop and revise code in an isolated environment, before it goes live, or wild. With AI the book refers to mishaps, projects that have gone wrong. We need to take care regards the nature of the 'sandboxes' that are used. In a way this speaks to the utility of Hodges' model as a resource for lifelong learning, a learner being fully socialised into a profession and its evolving disciplines:

INDIVIDUAL
|
      INTERPERSONAL    :     SCIENCES               
HUMANISTIC  --------------------------------------  MECHANISTIC      
 SOCIOLOGY  :    POLITICAL 
|
GROUP
box
sand-
box
box

I had to look up the CREEPER (Curbing Realistic Exploitative Electronic Pedophilic Robots) ACT (p.121). We are accustomed to outsourcing, and its perverse effects facilitated through globalisation, with nations transferring their pollution - plastics, and e-wastes. There are efforts as Chesterman writes to limit outsourcing to AI in terms of the decisions (pp.122-123). I enjoyed the nods to Isaac Asimov too. 

Gellers in chapter 9 AI, Design, and More-than-Human Justice provides another cylinder to drive the text not just forward but acknowledges the future for all: organic and inorganic. Gellers is argues for attention to AI and justice, not merely the moral and legal status of AI. Reading of  'communities of justice' (p.128) the established notion of 'communities of practice' or the collective of users - socio-technically. Gellers highlights our being in the anthropocene and how the environment and nature is figuring in law. So, not just legal questions for humans but natural 'things' and entities also (posted previously: Person & Sense of Place: A River runs through it ...).


INDIVIDUAL
|
      INTERPERSONAL    :     SCIENCES               
HUMANISTIC  --------------------------------------  MECHANISTIC      
 SOCIOLOGY  :    POLITICAL 
|
GROUP
person-
[what >]
'Who'
-hood (p.129)

algorithmic
collective

communities of practice
justice

communities of justice

I don't think we are there yet? Even, accepting that built-in obsolescence is an established and legal thing. But AI could turn materialism on its head. Looking at the materials, metals, rare earth elements ... that goes in how long do they last and how are the materials recovered? AI, computing desperately needs the doughnut economy, must epitomize the doughnut. Looking for a place to live, you notice the way probably quite serviceable bathrooms and kitchens are ripped out. The suites on a skip. That is quite a scene on the rubbish tip in the film: 'A.I. Artificial Intelligence'. The amount of energy in total production and materials is still not wholly valued, even before other values are 'added'? The focus on design here is integral to such questions. It has brought me to care design, and care architecture. Socio-technical aspects are highlighted again by Gellers (for me, as noted on W2tQ, that hyphen matters). 

Unsurprisingly, Descartes also figures in this chapter, section -Technology in the anthropocene:

'First, for philosophers of technology, the Anthropocene obliterates the nature/culture divide intrinsic to Cartesian thinking (Conty, 2017) that altered the course of history by rebranding technical objects as artificial and thus divorced from nature (Hui, 2017).' p.131.
It is encouraging that there is now recognition that 'we are nature too'. While we can record thought - brain activity on an EEG, from the outset (school studies of biology, then human biology) I've always associated intelligence, mind, thought, emotion, hope, dreams and cognition .. with the intra- interpersonal domain. If you adopt a socio-technical approach (overview - mindset) then invariably the technosphere will straddle the HUMANISTIC <-> MECHANISTIC axis of Hodges' model:
'So far, I hope to have established that technology plays a prominent, if complicated, role in the Anthropocene. But how does this relate to justice? Technology's relationship to ecological systems holds important implications for determining who belongs to communities of justice. To begin, the Earth system consists of interrelated biological, physical, and mental "worlds" (Kotzé, 2020, p. 80). The mental world, also referred to as the "technosphere," is an autonomous amalgamation of energy, communication, transportation, and financial systems, along with cities, governments, factories, farms, and other built systems and their constituent parts (Haff, 2014, P. 127). Technological artifacts such as AI are therefore part of the technosphere.' p.132.

Hodges' model: axes and care domains

We read of robots-in-ecology and robots-for-ecology. I was reminded of the SF film 'Silent Running' here. The real merit and encouragement for me in Geller's contribution, is section 4 which compares how we can approach more-than-human justice. Total eclipses are supposed to be rare, irrespective of what they might portend, now AI, the climate and life on Earth keep eclipsing each other: thus far partially. 4.1 Multispecies justice - Peter Singer really is ahead of his time (chapter 11 - here!); following socio-ecological justice 4.2, we arrive at planetary justice. Note (in Hodges' model) the 'distance' of what is generally deemed social and where the ecological in reality - physically resides. In the margin I'd scribbled 'Less a case of "take me to your leader" and more a case of "show me all your cards!"'. The synthesis and closing section on the design of robots specifically for more-than-human-justice helps here by including relationality, intersectionality and and contexts. 'Design justice' is something the book prompts me to carry forward (p.137).

One final post on HEoAI to follow ...

Handbook on the Ethics of Artificial Intelligence. David J. Gunkel (ed.). Cheltenham, UK: Edward Elgar Publishing Ltd. ISBN: 978 1 80392 671 1245
https://www.e-elgar.com/shop/gbp/handbook-on-the-ethics-of-artificial-intelligence-9781803926711.html

Related previous posts: 'general + AI'

*That early streak of competitiveness was clearly educated out of me.

Wednesday, February 12, 2025

Book review #3: Handbook on the Ethics of AI

I've started several 'gap' lists, including a draft post or two. Seeking to help bridge the theory-practice gap is an original purpose for Hodges' model.

Friedman's chapter 5 Responding to the (techno) Responsibility Gap(s). It is almost as if Friedman's title is parameterised. We could insert the domains of Hodges' model (plus, spiritual - safeguarding!) in there. Then there is the magic of languages, for responsibility substitute accountability and do a deep-dive applying Hodges' model in a specific domain. Friedman notes it is not entirely accurate to talk of a single "responsibility gap". Can this provide evidence for the situated potentiality of Hodges' model's and role in fostering situational awareness? Although there is an ongoing roll-back of CSR - corporate social responsibility, I scribbled in the margin:

INDIVIDUAL
|
      INTERPERSONAL    :     SCIENCES               
HUMANISTIC  --------------------------------------  MECHANISTIC      
 SOCIOLOGY  :    POLITICAL 
|
GROUP
user
user
user
corporate

Of course, 'user' still applies in the political domain, as we are all citizens; users of the State (note also the socio-technical utility of keeping the 'user' in sight). There is also personal ethics, and the legal duty of care - as a nurse (in my case) and for a member of the public. Discussion on notions of responsibility, in light of AI, especially self-driving vehicles, and autonomous machines (weapons) is much needed. Regulatory gaps are recognised; amid current news of debate on the degree of regulation of national and international financial systems. Nyholm's four-fold formulation on responsibility is invaluable as examples are provided. There is a reference to nine notions of responsibility, and the link to accountability and retribution.  I like Friedman's  discussion of responses to responsibility gaps as; optimists - technological approach; human-centred and hybrid approaches; plus pessimists (4.3). The latter includes debate and campaigns to 'stop the killer robots'. Did this chapter, have a positive effect in extending thoughts about events in the middle east? There are two points here I will return to in the final post.

For students, Schwarz's chapter 6 takes readers back to a literally pivotal development in ethical thought and debate: Trolleyology, with the addition of algorithms and killer robots. What Searle's Chinese Room (noted p.276 here) argument is to AI; so trolley-based dilemmas are to ethics. A point made by Schwarz, referring to the development of subsequent variations. (Following on from #2, Brian Magee's interviews with John Searle on philosophy of language and Wittgenstein are also well worth a listen.) Schwarz's chapter (and the whole book) could be read in preparation for an undergraduate course: computing, law, policy, philosophy, and ethics, for example. The challenge of determining responsibility and accountability "the problem of many hands" (p.71), is not limited to AI. This is a global issue in achieving justice for many previously healthy, competent, quite 'ordinary' people.

The question posed above, applies "equally"(!) here too: 3. mathematical morality for war. Ever since reading of argumentation through the Open University and other sources, I'm sure this is applicable to Hodges' model (with its 'own' algebra)? I'm no mathematician but the book provoked excitement rather than anxiety as I read: 'Principle of Permissible Harm (PPH) and probabilistic reasoning - with formulae (pp.88-89). There are some important (imho) 'take-away' messages here, but I don't want to spoil things. Nurses need mathematical skills, in drug calculations and are assessed on the same. Statistics are used in research, of course but maths is hardly the primary motivation for entry into the care professions: 
'Designing technologies in a way that takes into account broader human-centric values is an important and laudable approach to responding to new and emerging technologies in any arena. It cannot, however, serve as a substitute for moral deliberation and the act of taking moral responsibility for harmful acts, especially when lives are at stake. Reducing this to a mathematical problem ignores everything that cannot be captured in discrete numerical terms or as data points. And in situations where people and their lives become nothing more than data points, non-computational aspects, such as relational or embodied dimensions of human life, are marginalized if not entirely obscured. The real world is not reducible to binary logic, it is rife with contested, contradictory, and clashing values that might all be equally relevant It is complex in ways that cannot always be neatly captured or mathematically modeled. In other words, ethics cannot be "solved."' p.91.
More to follow ...

Handbook on the Ethics of Artificial Intelligence. David J. Gunkel (ed.). Cheltenham, UK: Edward Elgar Publishing Ltd. ISBN: 978 1 80392 671 1245

https://www.e-elgar.com/shop/gbp/handbook-on-the-ethics-of-artificial-intelligence-9781803926711.html


Related previous posts: 'general + AI'

Saturday, February 08, 2025

Book review: Handbook on the Ethics of AI #1

For the impatient, a book's introduction might present an unwelcome delay to the main course, and course is the word with Gunkel's edited text and said introduction. As a nurse with a BA(Joint Hons.) in Philosophy and Computing this book deserved the close reading sought. In that respect - the learning is ongoing. A book so titled could be 'heavy' going; especially given the many associated technicalities (hard and soft), the sheer dynamism that is AI (as per the arrival of DeepSeek) and uncertainties this provokes.

So, is this heavy? No, the book isn't, it is a learned production. Speaking of which the quality of production (hardback - for which many thanks to the editor and Edward Elgar Publishing Ltd) is very high; the design, text, legibility, layout. Vital for me, there is an index that seems in-depth and spans just over ten pages. There are notes too. Chapter 15 did have me wondering. Initially I did not look up the note '1' in the title. Had I done so, I would known the adopted format aims to represent a conversation: so all good. If you don't check the notes as you meet them, you will play number-tracking for a minute or two. There are a couple of typos but these are repeated words e.g. is is (page 17). Otherwise, the bar is set very high. Added to the notes, which do add to the chapters, the introduction sets a well referenced tone. As an appetiser the five part intro divides the book as follows:
  1. Definitions, Foundations and Context
  2. Responsibilities
  3. Rights
  4. Politics and Power
  5. Thinking Otherwise
As written previously, I get 'bogged' down with books - in a positive way - this one brings even more joy. My copy has many notes (light pencil!) in the margin and on various coffee receipts. The contents which includes and from each of the above:
1 What Is This Thing Called the Ethics of AI and What Calls for It?
2 AI Ethics before Frankenstein: Mary Shelley, Enlightenment Political Thought, and the Problem of Bad Education
4 What are Responsible AI researchers really arguing about?
5 Responding to the (techno) Responsibility Gap(s)
7 AI Ethics and Machine Ethics
8 From Ethics to Law: Why, When, and How to Regulate AI
9 AI, Design, and More-than-Human Justice
10 Anthropomorphism and its Discontents
11 A Relational Approach to Moral Standing for Robots and AI
13 AI and the Environment
15 The (Un)bearable Whiteness of AI Ethics
16 Ethics beyond Ethics: AI, Power, and Colonialism
19 Feminist Ethics and AI: A Subfield of Feminist Philosophy of Technology
21 Queering the ethics of AI
- is much needed across all disciplines, in education and professions. 

A political emphasis is evident already in the divisions 1-5 listed above. Preoccupied as I am with Hodges' model, to me this means the book is accurately balanced at this time. The contents may be daunting to some, but it is readable, and structured. The volume gels together in the prose style with some obvious individual differences which complement rather than jar. As a handbook it delivers and provides avenues for further reading - web resources in addition to more conventional text sources. As befits a handbook, the introduction part 6, reads Instructions for Use, which prompted the thought of Hodges' model as a self-directing* situated 'handbook'. Duly anthropomorphised, the book's cover looks east to new beginnings. I'm sure the editor did not realise the irony of the introduction's closing sentence:
'And in this effort - as I hope the handbook makes clear and evident in both its content and form - diversity is a valuable resource, as there is more to be gained from differences in approaches, perspectives, and methods than there is from the pretense to unanimity.'. p.12.
With US politics gradually unfurling itself; I thought too of irony2 as AI wakes, efforts commence to erase wokeness.

Much more to follow ...

Handbook on the Ethics of Artificial Intelligence. David J. Gunkel (ed.). Cheltenham, UK: Edward Elgar Publishing Ltd. ISBN: 978 1 80392 671 1245
https://www.e-elgar.com/shop/gbp/handbook-on-the-ethics-of-artificial-intelligence-9781803926711.html

*or group.

Friday, January 31, 2025

Saving 'a' School of Nursing ... Cardiff, et al. (2025 ...)?

Individual
|
      INTERPERSONAL    :     SCIENCES               
HUMANISTIC  --------------------------------------  MECHANISTIC      
 SOCIOLOGY  :    POLITICAL 
|
Group

Nursing has provided many models and theories and (even as some have scoffed), we could be on the cusp of new things; with the ideal model - for reflection, reflective practice, and critical thinking. Surely this is worthy of ongoing undergraduate and post-graduate study?

What message does closing a SoN send to:
  • the public;
  • other universities, colleges and schools;
  • to students (and alumni) selecting subjects for study;
  • to highlighting the mental health impacts on campus for students, faculty and researchers;
  • other disciplines;
  • the policy makers (APPGs ...);~
  • other nations?
You know: students and families know -  #MentalHealthMatters!

Ethics too - with the need for self-care, sustainable services, recognition of ALL the literacies.

Nursing isn't Philosophy (and others..) with dept.s globally also under threat, but you can find it there - in uniform and civilian dress with all the -isms to be negotiated.

Nursing has moved on from its past, but still calls on giving of self, a certain character, self-awareness. ... Closure!? And, just as it was getting all transdisciplinary!

You've exposed here the literal primacy of an individual's 'health career' : how this is impacted by life chances.^

If you hadn't noticed, the robots & AI are coming.  Ah! But of course, you do know that's were the £££ is. Indeed they are already here.

Nursing is an art and science, but in terms of data, the future workforce requirements are stark.

We need to act today - 4 tomorrow!

Each nation needs its own nurses.

Here is a way to contribute to global health; (there must be a way to achieve equity).

Parity of esteem too: health is mental AND physical.

This misses the continuum that touches so many curricula from the SELF to PLANETARY health.

How will we pursue (confirm?):
  • Models of Care & Nursing Theory still has a place?
  • Nursing & Nurses can deliver much a-Cross curricula, and as collaborators in research.
Nursing can contribute so much to the community of lifelong learning.

No! No! Nursing is much more than bio-psycho-social. It is BIOPSYCHOSOCIOPOLITICAL:
- pardon the irony, but thank you for the evidence.

Nursing has much to offer in education, EdTech, informatics, living in the 21st Century.
What about history?
 
What would Betsi and Florence say?

What about the future health of society: improved nutrition, air quality, climate change, emergency preparedness and the true Nat. Health & Care Services?

Especially, as so much is incomplete: 
consider - Social care, Community Care, Older Adults - demographic change, Prevention and Health Education, Public Health & Public Mental Health.

A measure of a culture - society isn't merely how it looks after the sick and disabled, it is also (must be) how it educates its populace. 'Teach your children well.'*

^Nursing knows (really) that it is not merely a case of the social determinants of health. It is all - political, economic, education ...

Does this mean Project 2K is a mistake? Was Project 2K a waste of time, effort and resources? 

What of the students to date: the fees, COVID ..? What was promised to this Profession - these Professionals? Or is this LIFO at work?

How do Nursing's leaders respond - in light of the frequency Nursing is poorly, or not represented at the 'table'?~

Nursing is dynamic, not only shoe leather and mental gymnastics, but the demands placed on curricula, call for a curriculum design, planning, development and evaluation resource.

Nursing can help inform the National Care Services, and provide part of an incredible career pathway.

- wither a Duty of Care - Social Responsibility?

Sorry, what are the reserves? Saving for a lunar campus, no doubt? Well, healthcare will be needed in space too.


Will you switch off the lights, or will the nurse have to return with the keys to 24/7/365 care?

*https://www.youtube.com/watch?v=dQOaUnSmJr8

https://en.wikipedia.org/wiki/Space_Nursing_Society (resurrected?)

Thursday, October 17, 2024

‘Guanyin: Confessions of a Former Carebot’ by Lawrence Lek

individual
|
INTERPERSONAL : SCIENCES
humanistic ------------------------------- mechanistic
SOCIOLOGY : POLITICAL
|
group

Carebot








Adnan, M.Z. Can robots have nervous breakdowns, Collecting, FTWeekend, 5-6 October 2024, p.7.

Friday, September 13, 2024

ROBOTPOLITICS

26 – 27 September, 2024 
UNIVERSIDADE ABERTA LISBON, PORTUGAL


The program includes:
  • The house is on fire, but this is fine: the incoming tsunami of disinformation 
  • Encrypted subjectivity in digital space 
  • You are (not) your avatar: personhood, personal identity and legal issues in mind uploading 
  • On Techno Dharma: Neurofeedback-assisted meditation as an enhanced technology of the self 
  • Mapped in real time: Affective technologies and the post-human subjectivity 
  • Does social bots rely on beliefs to communicate the science: An implication for misinformation. 
  • The Paradox of Information Abundance: Homogenization of Political Thought in the World of Social Media 
  • The main problems of Robotpolitics. Hints for their resolutions 
  • « Smart city » / Intelligent Citizen 
  • Smart Cities and Sustainability: Malthusian Sexual Robots 
  • Sex-Bots: Friend or Foe to Human Relationships? 
  • Towards Digital Platonism 
  • Autonomous weapons systems in armed conflicts: ethical and legal implications 

See also - The Jena Declaration: https://thejenadeclaration.org 

Previously on W2tQ robots

Thursday, October 12, 2023

Nursing observations: the need for Political inoculation in "Intro 101"

"Hockey's (1989b) typology of nursing activities as consisting of autonomous, derived and delegated elements suggests we should focus on the interventions which are initiated as well as undertaken by nurses. This is the core of nurses' work. It is what nurses do which is not done by other people. Nursing has always found it difficult to describe this core. Goddard's (Nuffield Provincial Hospitals Trust 1954) choice of the term 'basic' to describe this element of nursing work has had a disastrous influence not only on nurses' perceptions of the value of their work but also on the way in which nursing is regarded by other professional groups. It has been suggested that the term was used as a shorthand for 'fundamental' or 'essential' and that is has been systematically misinterpreted over the last three decades* by those who wish to use it to justify the horizontal division of nursing labour. Goddard demonstrated that basic nursing was undertaken by the least qualified and the lowest skilled. This observation might have sparked off a revolution in the delivery of nursing care but instead it has been and is used to justify the continued employment of unskilled labour in direct patient care." p.128.

*My emphasis: "... over the last three decades .." hence, since the early 1960s.


INDIVIDUAL
|
     INTERPERSONAL    :     SCIENCES               
HUMANISTIC --------------------------------------  MECHANISTIC      
SOCIOLOGY  :   POLITICAL 
|
GROUP




"The struggle between the twin poles of professionalism and bureaucracy is mirrored in that between the holistic, therapeutic approach in nursing, and that which is reductionist and functional (e.g. the task-centred approach to care).
To work successfully in such a climate demands considerable skills of nurses, for they must seek to change the nature of the organisation, or at least to neutralise its effects so that they can concentrate on therapeutic practice. Amongst these skills must be those of change agency." p.107. 

"Much of health care and particularly nursing is still organised along hierarchical and bureaucratic lines. To work professionally in such a system may in some way be seen as a contradiction in terms. The nurse may seek to exercise professional autonomy and make decisions about patient care (and indeed the organisation may seem to be encouraging him or her, at least superficially, to do so). Yet at the same time the nurse receives conflicting signals as others endeavour to exercise control over nursing practice such as doctors, senior nurses, finance directors, supplies officers and so on." p.107. 


In this book's final chapter: Paterson and Zderad's five Phases of Phenomenological Nursology.^

INDIVIDUAL
|
     INTERPERSONAL    :     SCIENCES               
HUMANISTIC --------------------------------------  MECHANISTIC      
SOCIOLOGY  :   POLITICAL 
|
GROUP

1. Preparation for the nurse knower coming to know.

(Hodges' model as a template - 'clean slate' also facilitating unconditional positive regard - openness to a new encounter - whether the first or subsequent.)

2. Nurse knowing the other intuitively.

(Intuition still has a role. A message: speak to a colleague - seek supervision!)

3. Nurse knowing the other scientifically.

(Reductionism is needed yet balanced with the humanistic esp. as the march (float ...) of the robots/AI follows apace.)

4. Nurse complementarily synthesising known others. 

(This is a purpose for Hodges' model, supporting the user to identify salient concepts and the relationships between them and their quality; then to reflect, think critically and move towards formulation.)

5. Succession within the nurse from the many to the paradoxical one. 

Nursing as Therapy
  (Tied to #4 above, but can emphasize health education, health literacy, co-production and co-creation with the patient - client. A collapse - in the synthesis with simultaneity of the individual and collective. Arriving at a conclusion and for the future of Hodges' model in theory and practice: an abstraction.)

Paterson J.G., Zderad L.T. (1976). Humanistic nursing. New York: John Wiley.
 

The conceptual scope of Hodges' model is demonstrated in how it can encompass other (all?) models of care and frameworks, including humanistic nursing.

McMahon, R. and Pearson, A. (1991) Nursing as Therapy. London: Chapman & Hall.
^Chapter 8 - Breaking the mould: a humanistic approach to nursing practice. pp.170-191.

Bought secondhand, 'Nursing as Therapy' caught my attention as I have read and wondered about 'assessment as therapy' across disciplines.

Thursday, January 12, 2023

ERCIM News No. 132 Special theme: "Cognitive AI and Cobots"

Dear ERCIM News reader,

ERCIM News No. 132 has just been published. This issue features a special theme "Cognitive AI and Cobots" showcasing remarkable achievements from research teams in Europe.  

This special theme was coordinated by our guest editors Theodore Patkos (ICS-FORTH) and Zsolt Viharos (SZTAKI).

Thank you for your interest in ERCIM News. Please forward this message to anyone who might be interested. We also appreciate you following and talking about us on Twitter @ercim_news and other social media.

[ Includes:

Cognitive Mimetics and Human Digital Twins – Towards Holistic AI Design
by Antero Karvonen (VTT) and Pertti Saariluoma (Jyväskylä University). p.17.

"Industry is just one example. AI will gradually change the way
people live and work and how society operates. Therefore, it
makes sense to develop AI design as a holistic process in
which social and technical aspects of intelligent technologies
can be simultaneously considered. Such new design practice
can be called holistic AI design. Cognitive mimetics and HDTs
provide key elements in such AI design." p.18.*
Cognitive Machine Argumentation
by Antonis Kakas (University of Cyprus). p.21.

Personalisation of Humanoid Robots: Serious Games for Older Adults Based on Biographical
Memories
by Benedetta Catricalà, Marco Manca, Fabio Paternò, Carmen Santoro and Eleonora Zedda (ISTI-CNR). p.28.

Food Waste Reduction in Healthcare – Challenges in Integrating Usage Data with Scorings
by Johann Steszgal (Steszgal Informationstechnologie GmbH), Peter Kieseberg (St. Pölten UAS) and, Andreas Holzinger (University of Natural Resources and Life Sciences Vienna). p.37.
Additional note PJ ]

Next issue:
No. 133,  April 2023
Special Theme: "Data infrastructures and management". Submissions are welcome!


About ERCIM

ERCIM - the European Research Consortium for Informatics and Mathematics - aims to foster collaborative work within the European research community and to increase co-operation with European industry. Leading European research institutes are members of ERCIM. ERCIM is the European host of W3C.

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*Hodges' model is ideal for initial scoping, planning, and holistic assurance throughout research, study processes and (case) formulation. The model provides ready-to-mind access to conceptual inter- multi- transdisciplinary bridges (even as we struggle to define the latter), e.g. socio-technical. 

Immediately preceding the above quotation, Karvonen and Saariluoma write:

"Arriving at this point via the cognitive mimetic route yields a deep and rich picture of human-technology co-agency in industrial processes." p.17.

A 'rich picture' (Checkland) is a feasible output of Hodges' model (extending Karvonen and Saariluoma's context). Clinically, this might comprise a 'comprehensive' assessment, or case formulation. It is bounded, guided by being situated, while the clinician's experience and patient's is built up across several encounters (appointments/home visits...). Unpopulated, initially (please see the template in the sidebar) the model serves as an aide-mémoire, an inner critical friend, helping to sustain values, and person-centredness. At a one-to-one(-group) level  integrated care, that is, parity of esteem across physical and mental health, a professional attitude and disposition to practise through unconditional positive regard remain key competencies. Each contact can act as its own 'reset', another blank sheet/slate: what can we learn together on this occasion? In some contexts this 'pause' can assist in risk management and safety - ensuring that the rich picture, and the knowledge gained thus far, does not mean things are taken for granted.