Bing Chat: When AI ethics workers face these barriers, they tend to take more personal risk when raising ethical concerns or proposing ethical solutions.

Question 1 of 3 for Bing Chat: Please read "Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs" and tell me what it says in an easy to understand way 

Bing Chat’s answer:Sure, I’ll try to summarize the main points of the paper for you. Here is what I understood from reading it:

• The paper is about how AI ethics workers, who are responsible for making sure that AI products are fair, transparent, and accountable, face many challenges in their work environment.

• The paper argues that AI ethics workers are like ethics entrepreneurs, who try to create new ethical practices and norms within organizations that use AI. However, they often encounter obstacles that prevent them from achieving their goals.

• The paper identifies three major barriers that AI ethics workers face:

  • First, they have to compete with other priorities in the organization, such as launching new products and meeting customer demands. This makes it hard for them to get attention and support for their ethical initiatives.

  • Second, they have to deal with the lack of clear and measurable metrics for evaluating the ethical impact of AI products. This makes it difficult for them to demonstrate the value and effectiveness of their ethical efforts.

  • Third, they have to cope with frequent changes in teams and roles, which disrupts their knowledge and relationships. This makes it challenging for them to learn from each other and collaborate on ethical issues.

• The paper also discusses how these barriers affect the individual risk-taking behavior of AI ethics workers. It shows that when they face these barriers, they tend to take more personal risk when raising ethical concerns or proposing ethical solutions. This is especially true when they come from marginalized backgrounds or have less power and influence in the organization.

• The paper concludes by suggesting some implications and directions for future research on AI ethics implementation. It calls for more attention to the organizational context and dynamics of AI ethics work, as well as more support and recognition for AI ethics workers.

Question 2 of 3 for Bing Chat: What are the most interesting or surprising findings and how can AI Makers or regulators make use of this information? 

Bing Chat’s answer:The most interesting or surprising findings of the paper are:

• When AI ethics workers face these barriers, they tend to take more personal risk when raising ethical concerns or proposing ethical solutions. This is especially true when they come from marginalized backgrounds or have less power and influence in the organization.

• The paper shows that AI ethics workers are like ethics entrepreneurs, who try to create new ethical practices and norms within organizations that use AI. However, they often encounter obstacles that prevent them from achieving their goals.

AI makers or regulators can make use of this information by:

• Recognizing the importance and value of AI ethics work, and providing adequate resources and incentives for AI ethics workers.

• Developing clear and consistent criteria and methods for assessing the ethical performance of AI products, and communicating them effectively to all stakeholders.

• Supporting the professional development and career advancement of AI ethics workers, and fostering a culture of trust and respect among different teams and roles.

Question 3 of 3 for Bing Chat: Is anything missing from the paper? Do you have any suggestions for improvements? Any topics you would like to see added in the future?

Bing Chat’s answer:The paper is well-written and provides a valuable insight into the challenges and opportunities of AI ethics implementation in technology companies. However, there are some possible areas for improvement or further exploration. Here are some of my suggestions:

• The paper could provide more details on how the authors selected and interviewed the participants, and how they ensured the validity and reliability of their data. This would help to establish the credibility and generalizability of their findings.

• The paper could also discuss more about the potential benefits and drawbacks of different types of AI ethics workers, such as those who are more senior or junior, more experienced or novice, more proactive or reactive, etc. This would help to understand the diversity and complexity of their roles and perspectives.

• The paper could explore more about the possible ways to foster a culture of trust and respect among different teams and roles that are involved in AI ethics work. This would help to address some of the barriers that prevent effective collaboration and communication.

• The paper could also examine more about the ethical implications and trade-offs of different AI products and features, such as those that involve personalization, automation, transparency, accountability, etc. This would help to identify some of the key ethical issues and dilemmas that need to be considered.