# How Different Groups Prioritize Ethical Values for Responsible AI

**Authors:** Maurice Jakesch, Zana Buçinca, Saleema Amershi, Alexandra Olteanu  
**arXiv:** [2205.07722](https://arxiv.org/abs/2205.07722)  
**Date:** 2022-05-16  
**Summary page:** https://www.summarizepaper.com/en/arxiv-id/2205.07722v2/

## Key points

- Private companies, public sector organizations, and academic groups have outlined ethical values for responsible AI technologies
- Little is known about the values that a more representative public would prioritize for AI technologies they interact with
- A survey was conducted to examine how individuals perceive and prioritize responsible AI values across three groups: US population, crowdworkers, and AI practitioners
- Results show that AI practitioners' value priorities differ from those of the general public, emphasizing a different set of values
- Self-identified women and black respondents found responsible AI values more important than other groups
- Liberal-leaning participants were more likely to prioritize fairness than other groups rather than participants reporting experiences with discrimination
- There is significant variation in how different groups prioritize ethical values for responsible AI
- It is crucial to engage diverse stakeholders in discussions around defining responsible AI and ensuring their perspectives are taken into account when developing guidelines and policies for these technologies.

## Summary

In recent years, private companies, public sector organizations and academic groups have outlined ethical values that they consider important for responsible artificial intelligence (AI) technologies. However, little is known about the values that a more representative public would prioritize for the AI technologies they interact with and might be affected by. To address this gap in knowledge, a team of researchers conducted a survey examining how individuals perceive and prioritize responsible AI values across three groups: a representative sample of the US population (N=743), a sample of crowdworkers (N=755), and a sample of AI practitioners (N=175). The results of the study empirically confirm a common concern: AI practitioners' value priorities differ from those of the general public. Specifically, compared to the US-representative sample, AI practitioners appear to consider responsible AI values as less important and emphasize a different set of values. This finding highlights the importance of paying attention to who gets to define responsible AI. Interestingly, self-identified women and black respondents found responsible AI values more important than other groups. Surprisingly, more liberal-leaning participants were also more likely to prioritize fairness than other groups rather than participants reporting experiences with discrimination. Overall, these findings suggest that there is significant variation in how different groups prioritize ethical values for responsible AI. As such, it is crucial to engage diverse stakeholders in discussions around defining responsible AI and ensuring that their perspectives are taken into account when developing guidelines and policies for these technologies.