Explainable AI Component of Responsible and Ethical AI Development

Date:

Friday, June 7, 2024

Time:

9:45 am

Room:

Phoenix Ballroom A

Summary:

As artificial intelligence (AI) becomes increasingly integrated into our lives, it is important to ensure that it is developed and deployed in an ethical and responsible manner. One key component of this is explainable AI, which provides transparency and accountability by enabling users to understand how AI systems make decisions and identify potential biases or errors. This can help mitigate risks and build trust in AI, leading to more ethical and responsible use. In this presentation, we explore the importance of explainable AI and its role in promoting responsible and ethical AI development.

Bias vs. Unfair Discrimination: The difference is more than perception

Date:

Friday, June 7, 2024

Time:

10:10 am

Summary:

The terms “Bias” and “Unfair” have become almost synonymous, but that is not always the case. This session opens the discussion on the ethics of fair vs. unfair discrimination which is the basis for pricing insurance. We have an principle obligation to understand the loss per exposure, which includes understanding when data is or is not representative of that exposure. We’ll walk through a couple of cases to spark that conversation.

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