Principles

Justice

"
1. 4 In research that is just:
1. (a) taking into account the scope and objectives of the proposed research, the selection, exclusion and inclusion of categories of research participants is fair, and is accurately described in the results of the research
1. (b) the process of recruiting participants is fair
1. (c) there is no unfair burden of participation in research on particular groups
1. (d) there is fair distribution of the benefits of participation in research
1. (e) there is no exploitation of participants in the conduct of research
1. (f) there is fair access to the benefits of research.
1. 5 Research outcomes should be made accessible to research participants in a way that is timely and clear." (NS
1. 4-
1. 5)

Challenge Instances Application of AI has potential to exacerbate, or ignore, established injustices; these biases may not be immediately clear in unbalanced data, nor apparent in short-term implementation evaluations Inequities in access to AI may increase, not tackle, inequality Technology-mediated relationships between researchers and participants may serve to entrench, create, or miss opportunity to challenge, injustices. While shifts in researcher-participant relationships can create distance, they can also create connections. However, such research involves power relations that are complex to navigate. The Intersection of Data Literacy and Social Justice in AI and decision making Assessing the impact of AI requires sensitivity to culturally situated human social interaction How do we represent cross-cultural differences in communication through AI systems? Should affective AI nudge users for personal or societal benefit? The complexity of actionable 'accuracy' and reliability in the context of uncertain uses and users: False positives, the tyranny of averages, and operationalising measures

Overarching Focus

Overarching Principles Justice

Principle Collation Fairness Justice

Sources National Statement on Ethical Conduct in Human Research

Strategies Questions to consider regarding re-identification and issues of justice in IP Questions to consider in key stages of AI and machine learning based research, regarding the Research Analytical Process Considerations in assessing trustworthy AI - Accessibility and universal design Considerations in assessing trustworthy AI - Documenting trade-offs

Created At 2023-05-18T14:26:19.000Z

Equivalent To PROTECT the priorities of social values, justice, and the public interest

Title Justice