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:

Naive holism, Hodges' model and a lesson from NeuroLinguistic Programming

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:

Hodges' model: axes and care domains

Hodges' model - as 'a' philosophy c/o TPM

(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

Book review: Handbook on the Ethics of AI #1

Book review: Handbook on the Ethics of AI #2

Book review #3: Handbook on the Ethics of AI

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

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.

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).

Handbook on the Ethics of AI

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

Book review: Handbook on the Ethics of AI #1

Book review: Handbook on the Ethics of AI #2

Book review #3: Handbook on the Ethics of AI

Related previous posts: 'general + AI'

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