Principles

Protection of vulnerable persons

Challenge Instances Non-research platforms such as smart toys may collect data about children with little regulation How do we ensure protection of data during humanitarian emergencies? How might AI deployed in care settings to foster intimate relationships impact on relationships among humans?

Challenges Respect for diversity, non-discrimination, and fairness

Overarching Focus

Overarching Principles Respect for persons

Principle Collation Fairness

Sources National Statement on Ethical Conduct in Human Research

Strategies Questions to consider in assessing risk of harms Questions to consider regarding protection of vulnerable populations Principle of Discriminatory non-harm for fairness, key considerations for data fairness Principle of Discriminatory non-harm for fairness, key considerations for design fairness Principle of Discriminatory non-harm for fairness, key considerations for outcome fairness Principle of Discriminatory non-harm for fairness, key considerations for implementation fairness Questions to consider in key stages of AI and machine learning based research, regarding data collection Guiding questions for educators regarding Diversity, non-Discrimination, and Fairness of AI in Education Considerations in assessing trustworthy AI - Quality and integrity of data Considerations in assessing trustworthy AI - Access to data Considerations in assessing trustworthy AI - Minimising and reporting negative impacts Consider developing strategies for specific context of humanitarian action

Child Of Respect for persons

Created At 2023-05-18T14:20:33.000Z

Title Protection of vulnerable persons