Ethics Principles, Challenges, Cases, and Strategies
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Guideline
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About this guideline
Introduction
Respect for Persons and Human Dignity
Beneficence
Justice
Worth
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Principles
ensuring respect for persons is maintained in the design
Challenge Instances
Design fairness and ensuring models address challenges communities agree should be addressed
Data fairness and bias at the system and the data or input level
Challenges
Sustainability (including social and environmental sustainability): How do we incorporate a human-rights framework into AI design/development/use?
Sustainability (including social and environmental sustainability): How do we incorporate wellbeing considerations into AI impact measurement and monitoring?
Sustainability (including social and environmental sustainability): How do we incorporate wellbeing considerations into AI design/development/use?
Overarching Focus
Overarching Principles
Merit and Integrity
Sources
National Statement on Ethical Conduct in Human Research
Strategies
Questions to consider in SoTL research inception
Key discussion points for planning SoTL research regarding power relationships
Key discussion points for planning SoTL research regarding secondary analysis of data
Guiding questions for educators regarding Technical Robustness and Safety of AI in Education
Ethics must be embedded in STEM education and professional accreditation
Systematic analysis of consequences, transparency, user agency, and safeguards are central to implementation of AI nudges
Child Of
Merit and Integrity
Created At
2023-05-18T14:28:05.000Z
Title
ensuring respect for persons is maintained in the design