Global Deloitte AI Institute's Ammanath on Trustworthy AI

The video discusses the ethical concerns and biases in AI, emphasizing the need for diverse teams to mitigate these issues. It highlights the importance of considering various dimensions like transparency, safety, and accountability in AI development. The discussion extends to the impact of AI on diversity, particularly in healthcare, where biased data can lead to unequal treatment. The speaker suggests that involving diverse perspectives in AI development can address these challenges and enhance AI's potential.

What are the main ethical concerns associated with the widespread use of AI technology?

What are some implications of using AI without considering human data?

What steps can organizations take to ensure their AI systems are fair and unbiased?

How does the lack of diversity in tech impact the development of AI?

In what ways can diverse teams help mitigate bias in AI systems?

Can you provide an example of how AI might negatively affect diversity?

How does historical bias in data affect AI predictions in healthcare?