Hodges' Model: Welcome to the QUAD: bias

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 with label bias. Show all posts
Showing posts with label bias. Show all posts

Monday, June 15, 2026

"Keep politics out of sport!"

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


Norris





Previously: 'sport'

See also: https://www.formula1.com/ 

Friday, April 18, 2025

ERCIM News No. 141 Special theme: "AI for Cultural Heritage"

Dear ERCIM News reader,

The April 2025 issue of ERCIM News (Number 141) is now online! The articles featured in this issue highlight the wide spectrum of applications in the cultural heritage field that benefit from AI, as well as the diverse forms of AI being employed across the sector.

Including:

Who Are You, AI? – Artificial Intelligence as a Potential Metaphysical Humiliation of Humanity. pp.32-33.

By Michael Fleischhacker (University of Applied Sciences Burgenland), 
Igor Ivkić (University of Applied Sciences Burgenland and Lancaster University), and Friedrich Roithmayr (University of Applied Sciences Burgenland) 
'Artificial Intelligence as a potential fourth metaphysical humiliation—questioning human uniqueness in reason, freedom, and moral standing, and unsettling our place in the world after Copernicus, Darwin, and Freud.'

My source:
Peter Kunz
ERCIM
https://www.ercim.eu
https://ercim-news.ercim.eu

Follow us on LinkedIn: https://www.linkedin.com/company/ercim
Join the ERCIM LinkedIn Group: https://www.linkedin.com/groups/81390/
Follow us on X: https://x.com/ercim_news

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.

Tuesday, February 04, 2025

Do you ..."Fit the Description" ?


'4. RACIST VALUES EMBEDDED IN "AI" 
Racial prejudices have been found embedded in "AI" and algorithmic systems, including carceral systems which use surveillance techniques, facial recognition, and predictive metric to determine policing tactics, sentencing, and punishments. In 2018, demonstration of a Amazon`s Rekognition facial imaging system made false identification matches to 28 different congresspersons, linking their images to pictures found in mugshot databases (Snow 2018). This outcome is entirely explicable. First, digital cameras and imaging systems see Black and brown faces - and particularly the faces of Black and brown women - less well (Buolamwini and Gebru, 2018). Next, most existing facial recognition systems are trained on mugshot databases. Third, as Black people are over-policed, with many young Black men being spuriously said to have "Fit the Description," the mugshots of Black people are entered into police databases at a disproportionate rate. Then, those databases are used to train algorithmic surveillance systems on how to search for "predictors of criminality." We have even taught these systems to search for particular skin tones (Joseph and Lipp, 2018).' p.248.
INDIVIDUAL
|
      INTERPERSONAL    :     SCIENCES               
HUMANISTIC  --------------------------------------  MECHANISTIC      
 SOCIOLOGY  :    POLITICAL 
|
GROUP

FIT the DESCRIPTION?

FIT the DESCRIPTION?

FIT the DESCRIPTION?

FIT the DESCRIPTION?


Damien Patrick Williams (2024) Disabling AI: Biases and Values Embedded in Artificial Intelligence, (Chap. 17) 246-261. In. 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

Posts with review to follow.

Wednesday, October 23, 2024

Book received: 'Handbook on the Ethics of Artificial Intelligence'

Many thanks to Edward Elgar Publishing for a review copy of this book which arrived today:

Edited by David J. Gunkel, Professor of Communication, Northern Illinois University, US, and Professor of Applied Ethics, Łazarski University, Poland

Publication Date: 2024 ISBN: 978 1 80392 671 1 Extent: 336 pp
This engaging Handbook identifies and critically examines the moral opportunities and challenges typically attributed to artificial intelligence. It provides a comprehensive overview and examination of the most pressing and urgent problems with this technology by drawing on a wide range of analytical methods, traditions, and approaches.

This is timely, prior to next month's event on AI and Planetary Health, about which news to follow shortly, especially if you are based near London and southern England.

I also can't believe it is 34 years since publication of the following case study:

Davies, M. and Owen, K. ‘Complex uncertain decisions: medical diagnosis’, Case Study 10 in Expert System Opportunities from the DTI’s Research Technology Initiative, HMSO 1990.

Ethics in AI 2024 :: Expert Systems 1990

Monday, August 16, 2021

International Conference “AI for People: Towards Sustainable AI” (CAIP’21)

Dear Colleague, 

we are writing to you as we understand you may be interested in this year’s edition of the International Conference “AI for People: Towards Sustainable AI” (CAIP’21). 

Below you will find the official Call for Full papers.
Please feel free to distribute it to mailing lists you manage and to everybody who may be interested.
Thank you and we hope to see you in CAIP’21!

Follow us at:

http://aiforpeople.org/conference
https://www.linkedin.com/company/19176054/
https://www.facebook.com/aiforpeople
https://twitter.com/AIforPeople
https://www.instagram.com/ai_for_people/

 ------------------------------------------------

International Conference “AI for People: Towards Sustainable AI” (CAIP’21)
November 20-24, 2021

Call for Full Papers https://aiforpeople.org/conference/cfp.php
Please distribute (Apologies for cross-posting)

If you wish to receive more information about CAIP’21
https://mailchi.mp/281085ba7b4b/caip21
------------------------------------------------

The International Conference “AI for People: Towards Sustainable AI” was born out of the idea of shaping Artificial Intelligence technology around human and societal needs. While Artificial Intelligence (AI) can be a beneficial tool, its development and its deployment impact society and the environment in ways that need to be thoroughly addressed and confronted.

This year’s edition will focus on Sustainable AI, covering different aspects of social development, environmental protection, and economic growth applied in the design and deployment of AI systems. The conference will provide its participants with opportunities to gain a better understanding of the major challenges of utilizing AI for the societal good. Additionally, it should serve as an incubator for interdisciplinary communities that share a research agenda to exchange and discuss ideas related to the design and application of Sustainable AI. Here, Sustainable AI is a movement to foster change towards greater ecological integrity and social justice in the entire life cycle of AI systems.

*** Themes and Topics *** 

The conference will be interdisciplinary and it welcomes contributions from different disciplines, spanning from computer science, the social sciences, and the humanities. 

Possible topics include but are not limited to:
- AI applications for the social good and towards sustainable development goals
- Ethics of Artificial Intelligence
- Sustainable AI for Smart Cities
- Policy recommendations for Sustainable AI
- Green AI for environmental protection
- Accuracy and Robustness of AI systems
- Bias and Fairness in AI Systems
- Privacy and Accountability in AI Systems
- Safety and Security in AI Systems
- Explainability and Transparency in AI Systems

*** Important Dates ***

Submission deadline: October 1st, 2021
Notification: November 1st, 2021
Camera-ready: November 6th, 2021
Conference Days: November 20-24, 2021

 *** EAI Proceedings *** 

Conference proceedings will be published in the EAI CORE Proceedings and included in the European Digital Library (EUDL) and will be submitted for inclusion in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP.

*** Organising Committee ***

The International Conference on “AI for People: Towards Sustainable AI” is organized by the nonprofit international organization “AI for People” (aiforpeople.org).

- General Chairs: Marta Ziosi (Oxford Internet Institute, University Oxford), Philipp Wicke (University College, Dublin) and João Miguel Cunha (University of Coimbra), Angelo Trotta (University of Bologna)
- Program Chairs: Lea Buchhorn (Leiden University) and Vincenzo Lomonaco (University of Pisa)
- Finance Chair: Aina Turillazzi (Tilburg University)
- Publication Chair: Angelo Trotta (University of Bologna)
- Technical Program Committee: Kevin Trebing (Plan D GmbH) and Gabriele Graffieti (University of Bologna)

CAIP'21 is technically sponsored by: EAI. CAIP'21 is supported by: EurAI.

My source: AI-SGES list 

https://www.jiscmail.ac.uk/cgi-bin/webadmin?A0=AI-SGES 

 

Tuesday, June 01, 2021

Book: Noise

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

noise? noise?

Daniel Kahneman, Olivier Sibony, Cass R. Sunstein, Noise: Exclusive Edition (Hardback), HarperCollins Publishers.

Wednesday, March 17, 2021

Does “#AI” stand for Augmenting Inequality in the era of Covid-19 healthcare? c/o BMJ

Fig 1 Cascading effects of health inequality and discrimination manifest in the design and use of artificial intelligence (AI) systems [BMJ]


Original graphic surgically re-rendered as per the knowledge (care) domains of Hodges' model:

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

My source:

Friday, August 21, 2020

Allport's Scale of Prejudice - 1 to 5

individual
|
INTERPERSONAL : SCIENCES
humanistic ----------------------------------------------- mechanistic
SOCIOLOGY : POLITICAL
|
group - population
? ?
?
  1. Antilocution: Antilocution occurs when an in-group freely purports negative images of an out-group. Hate speech is included in this stage. Although antilocution itself may not be harmful, it could set the stage for more severe outlets for prejudice (see also ethnic joke).
  2. Avoidance: Members of the in-group actively avoid people in the out-group. No direct harm may be intended, but psychological harm often results through isolation (see also social exclusion).
  3. Discrimination: The out-group is discriminated against by denying them opportunities and services, putting prejudice into action. Behaviors have the intention of disadvantaging the out-group by preventing them from achieving goals, getting education or jobs, etc. Examples include Jim Crow laws in the US, the Statute of Kilkenny in British Ireland, Apartheid in South Africa, the Nuremberg Laws in 1930's Germany and antisemitic laws in the Middle East.
  4. Physical Attack: The in-group vandalizes, burns, or otherwise destroys out-group property and carries out violent attacks on individuals or groups. Physical harm is done to members of the out-group. Examples include pogroms against Jews in Europe, the lynchings of blacks and Italians in the US, ongoing violence against Hindus in Pakistan and Muslims in India.
  5. Extermination: The in-group seeks extermination or removal of the out-group. They attempt to eliminate either the entirety or a large fraction of the undesired group of people. Examples include the Cambodian genocide, the Final Solution in Nazi Germany, the Rwandan genocide, the Armenian Genocide, the Genocide of the Hellenes and ethnic cleansing in the Bosnian War. 
Source: https://en.wikipedia.org/wiki/Allport%27s_Scale

 

Gravells, A., Simpson, S. (2009) Equality and Diversity in the Lifelong Learning Sector, Exeter: Learning Matters Ltd. pp.65-66.

See also: 

IMPACT: Prejudice and Discrimination i

Allport, Gordon (1954). The Nature of Prejudice. Cambridge, Mass. Addison-Wesley.


Wednesday, August 19, 2020

IMPACT: Prejudice and Discrimination i

individual
|
INTERPERSONAL : SCIENCES
humanistic ----------------------------------------------- mechanistic
SOCIOLOGY : POLITICAL
|
group - population
PREJUDICE
thoughts
DISCRIMINATION
actions
DISCRIMINATION
actions
 DISCRIMINATION
actions

 

IMPACT - it's not just a font.

 Prejudice - beware amplification by the media

Gravells, A., Simpson, S. (2009) Equality and Diversity in the Lifelong Learning Sector, Exeter: Learning Matters Ltd. p.50.



Wednesday, July 15, 2020

Editorial: Dismantling racism in education: In 2020, the year of the nurse & midwife, “it's time.”

Maya Angelou:

"The plague of racism is insidious,
entering into our minds as smoothly
and quietly and invisibly as floating airborne microbes enter into our bodies
to find lifelong purchase in our bloodstreams"


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

(My) Education
[Student - Teacher]

Individual Ideology
Cognitive bias

INDIVIDUAL RACISM

 reflection - cultural humility
SUBJECTIVE
Covert Racism
 (What information I choose to share/not share)

Mental Health Nursing

Mental Health Disparities

Healthcare Disparities
(lived individual experience
micro-MACRO aggressions)

Cognitive access, languages

NURSING?: "Abstracting the individual from
Body
COVID crisis
Physical Health (General) Nursing

Covert Racism
Overt Racism
Geography - Areas Population Ethnicity
Physical environment

Statistical evidence -
BAME/BIPOC population

OBJECTIVE
RACE: Physical access - Health access ->
BURDEN OF DISEASE

'Placement' variation in experiences.

Race in the curriculum - jaundice,

"The colour of my skin is..."
The visibility of 'whiteness' ..."
(Visibility of gender in research...)


  Silence is NOT                    (Profiling:) Racial
 the context of a racialised society through well-meaning attempts to individualise care must also be critiqued."


"Nursing's  ̳transcultural‘ or  ̳multicultural‘ practices, where proficiency is measured by gaining more ― ethnocentric knowledge"

Social Determinants of Health
Socially determined health risks

Covert Racism/subtle abuse
(Information I don't read/hear of...)
Overt Racism
Interpersonal exchange:
Outright abuse (criminal)
Healthcare Disparities
(as experienced collectively
micro-MACRO aggressions)

 Sinophobic abuse of Asian/Chinese peoples

 Social isolation
Social exclusion
 Social inclusion
Social justice, fairness, equality, equity
What does 'teamwork' really mean?
Peer group (belonging)

STRUCTURAL
neutral                                           Violence
Education Inst.
Diversity in Nurse Education
Professors, Degree attainment ...
Power: Faculty - Students - Race
'neoliberal discourse'

Law & Order
The 'Protected Characteristics'
Codes of practice - Worldwide
Institutional Ideology as 'sustained' in
Org. Structures
 [policies, governance, audit, reporting]

Covert Racism
Overt Racism -
Political Groups (even if banned)
Employment - Short-list, Selection
Tokenism
Healthcare Disparities -
measures - change?
Visible BAME/BIPOC in Faculty
 "If you can‘t see one, you can‘t be one."

#BlackLivesMatter
curricula
CHANGE championed by -
Nursing and Midwifery leadership -

RACISM ............ "No SIIR!"

The 'can of worms' that is SIIR infects, pervades and moves around each and all the care domains above and can affect the spiritual also. It can no longer evade individual, collective and institutional attention: action must follow.
.
SIIR: structural, individual and ideological racism

A. Burnett, C. Moorley, J. Grant, et al., Dismantling racism in education: In 2020, the YEAR of the nurse & midwife, “IT'S time.”, Nurse Education Today (2020). https://doi.org/10.1016/j.nedt.2020.104532
https://www.sciencedirect.com/science/article/pii/S0260691720311916

Wednesday, October 23, 2019

Commentary: Global health journals need to address equity, diversity and inclusion c/o BMJ Global Health

HICs: high-income countries
LMICs: low-income and middle-income countries


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

Individual experience

&

values

Leader


Task - EDITING - Process

< PARACHUTE >
----------------
RESEARCH

LOCATION
 global south

Leadership

Roles

INCLUSION - DIVERSITY

Community of Practice

Collective Values

Values

LMIC - expertise HIC

Colonialism
Figure 1
Global health editors and editorial board members according to location, gender and group. Group 1 included editors-in-chief, or those in leadership roles; group 2 included senior, deputy or associate editors; and group 3 included editorial board or advisory board members. HICs, high-income countries; LMICs, low-income and middle-income countries.



Nafade V, Sen P, Pai M. Global health journals need to address equity, diversity and inclusion. BMJ Global Health 2019;4:e002018

Tuesday, October 01, 2019

AI Governance & (Old) Chestnuts - When Healthcare is a Silo

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





SMART

bias
safety
explainability

*(effect)?







 artificielle [ ;-) ]

V s
E i
R t
T u
I a
C t
A i
L o
   n
   s

Healthcare and Energy (Sectors)

bias, safety, explainability
unintended consequences

ZERO emissions


"There are areas where we need
to do the research before we know
 what are the right kinds of
 approaches to take".
Sundai Pichai

*(effect)?

REGULATION
Governance
Blanket vetting or Sector-by-Sector rules?

anti-competitive
privacy infringement
Advertising* (cause)
*(effect)?

Google AI principles



Source:
Bradshaw, T. (2019) Google chief urges regulators not to rush into AI crackdown, FT Weekend, 21-22 September, p. 15.

Friday, March 08, 2019

"Invisible Women" on International Women's Day



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



Voice recognition
Crash victims - statistics
Toilet space allocation 
Fumes from cooking stoves
Women - HIV
Drug development studies

"This is a book about the absence of women, but it is also a book about the reign of the default male - the able-bodied, usually white, 70kg man for whom society is built to work." 

Speed, B. (2019) This is a man's world, (The) 'i', p.43.

Invisible Women - Data Bias


Thursday, February 16, 2017

A Spin on Logic, Belief, Facts & Truth

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

Doxastic Logic
Individual Belief


Post-truth (time)
Short : Long term
Statistics
Facts
Proton Spin Mystery

The public
The crowd
The people
The public - the politicians deserve

Post-truth (politics)
Alternative-Facts
Fake news
False promises
True Spin
The politicians - the public deserve



My original source:
Simon Kuper, (2017). The age of broken promises, FT, Magazine, 28/29 January, p.5.

Thursday, March 29, 2012

Tied to the mast: achieving anonymity

It isn't just me - is it?
Other people must have this problem.
No?

It isn't that it's an embarrassing body problem -
although time will tell on that
- it's just Frustrating.

If you venture to write a paper for publication then the submission process usually asks you to render the paper Anon. This makes good sense: right and proper. While some scholars can spend decades on a specific problem, or project the majority of academics must be fleet of foot. Usually, they have to  chase funding, publish, publish and shift from flower to flower garnering citations and increasing aplomb. There must be exceptions I suppose, were researchers become a 'known' quantity, associated not just with particular research subject, but with a set of peers and establishments. Of course I'm Generalizing.

Here though I can't help wishing it was different - that's what this mission is all about. Trying to get other people on board, to recognize the potential value of Hodges' model in health, social care and beyond.

Speaking
of
beyond
it is
marvellous 
to note that the past two days have seen over 100 
visitors 
to 
W2tQ. 
Thanks
everyone.


As to the anonymity bit, well I've climbed the pole, I've balanced on the beam and yet sadly this new gymnastic element the anonistic-maneuver is beyond me.

I don't want to moan, but in this case models offer no anonymity.

If I could hide I would: the long and short of it is I'm stuck ....

If it is not Brian Hodges himself writing about the model, then who is?

Now clearly I'm no Odysseus, but it seems I'm tied to this thing. This conceptual contraption. This mast.


Jokes aside though, it makes you wonder how many other innovations, worthy projects, ideas of merit, struggle against what appears to be a figure ground illusion?

You see with h2cm even when duly anonymised -  one moment we have an unknown - a personally, politically neutral entity. The next moment - ah! hold on. Now I can see who it is and hear this 4-track song.

Oh wondrous enchanted music ....


There is a way around this...!

Additional link:
http://hodges-model.blogspot.co.uk/2007/01/hodges-model-what-is-it-1-house-of.html

Original image sources:
Figure ground labelled
http://psylux.psych.tu-dresden.de/i1/kaw/diverses%20Material/www.illusionworks.com/html/figure_ground.html
Odysseus
http://www.prospectmagazine.co.uk/tag/social-structures/

Wednesday, November 14, 2007

"BonkersFest has identified normality as a mental health issue..."

Although it's a while since I ran around the school playground, mentally for the sake of my well-being, creativity and general zip-n-zest; I like to think that I'm still there (minus - knees plaster clad, nose running, sleeves flowing....).

Now, it's just that the playground is a tad bigger.

As an adult thinking about the banter and slang terms banded about back then the differences and connections between adult-childhood worlds become quite stark and makes you wonder - where does stigma begin?

When I first came across BonkersFest this year I thought "they can't call it that - can they...?"


Well they obviously did. In doing so this year and with plans for 2008 the participants, organisers and sponsors are addressing the question (issue!) of stigma around mental health and disability head-on.

BonkersFest, the ongoing attention of the BBC, the Independent newspaper campaign and efforts of others in the media are still much needed.