"Keep politics out of sport!"
INTERPERSONAL : SCIENCES
Lewis | Russell |
Norris |
Previously: 'sport'
See also: https://www.formula1.com/
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 ...
Lewis | Russell |
Norris |
Previously: 'sport'
See also: https://www.formula1.com/
Posted by Peter Jones at 10:25 pm | PERMALINK
Labels: bias , complexity , cooperation , coordination , determination , endurance , entertainment , fairness , judgement , neutrality , order , persistence , play , politics , safety , skills , sport , teamwork , weather
psychology Subjective experience: of freedom and being equal self-interest "Rawls transformed political philosophy, Chandler says. But his thought can be used to transform and reimagine 'progressive politics for the twenty-first century', too. After a half-decade of populist insurgency, the democratic world is at a 'crossroads', he contends, and we are in desperate need of new ideas to renovate a tattered social contract. That's where Rawls comes in." Derbyshire, p.9. | "Imagine being asked to cut a cake into five slices without knowing which slice you'll end up with. Rational self-interest dictates you'd cut slices of roughly equal size. Similarly, the participants in Rawl's thought experiment, behind the veil of ignorance, choose two fundamental principles of justice: a 'basic liberties principle', which says that every one has an equal claim to a suite of fundamental rights and liberties, obviously a precondition of liberal democracy; and a 'difference principle', according to which social and economic inequalities can only be justified to the extent that they benefit the worst off." p.9 trickle-down || 'drip' |
Society Social Justice Fairness Social contract |
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.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/
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International Conference “AI for People: Towards Sustainable AI” (CAIP’21)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*** 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)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
Posted by Peter Jones at 9:45 pm | PERMALINK
Labels: accuracy , AI , artificial intelligence , bias , conference , environment , ethics , explanation , fairness , online , people , policy , public good , safety , security , smart cities , sustainability , systems
Born in Liverpool, NW England, UK.
Community Mental Health Nurse NHS, Part-time Lecturer,
Researcher Nursing & Technology Enhanced Learning
Registered Nurse - Mental Health & General
Community Psychiatric Nursing (Cert.) MMU
PG Cert. Ed.
BA(Joint Hons.) Computing and Philosophy - BIHE - Bolton
PG(Dip.) Collaboration on Psychosocial Education [COPE] Univ. Man.
MRES. e-Research and Technology Enhanced Learning, Lancaster Univ.
Live and work in NW England - seeking a global perspective.
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