Beyond The Valley
AI has a tricky relationship with facts. Can that be fixed?
Nov 14, 2024
Brooke Hartley Moy, Co-founder and CEO of AI startup InFactory and former Salesforce and Google employee, joins to tackle the thorny issues around AI inaccuracies and biases. She emphasizes that AI models can often mislead with confidence. The discussion dives into the unique challenges of ensuring data integrity, combating misinformation, and fostering trust in AI systems. Moy also highlights the necessity for diversity in the tech workforce to drive ethical innovation and improve accountability within the AI landscape.
41:26
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Quick takeaways
- The conversation highlights the critical need for transparency in AI data sourcing to mitigate biases and misinformation.
- Successful AI leaders must balance practical skills with ethical innovation, focusing on societal impacts over mere profit-making.
Deep dives
Concerns Surrounding AI Development
The dialogue at the tech conference centers around artificial intelligence, specifically the issues associated with large language models such as bias, transparency, and accuracy. These concerns have arisen as excitement about AI has been tempered by instances where generative AI produces misleading or incorrect results, referred to as ‘hallucinations.’ To address these pitfalls, experts are exploring ways to mitigate risks in AI development processes and build systems that can be trusted. The focus is on creating AI that can deliver accurate, factual results while minimizing the negative implications of potential inaccuracies.
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