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Guests Abhishek Gupta, Camylle Lanteigne, Muriam Fancy, and Ryan Khurana discuss their State of AI Ethics Report, exploring biases in NLP models, troubling trends in AI ethics, lack of transparency in applicant screening, addressing inequality with AI, and the importance of understanding AI security and overcoming misconceptions.
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Quick takeaways
- The State of AI Ethics Report aims to compile information and knowledge from diverse perspectives to provide a practical resource for navigating the field of AI ethics.
- Machine learning security deserves more attention to prevent biases, compromises of fairness, and ethical concerns.
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Motivation for the State of AI FX report
The podcast episode features an interview with researchers from the Montreal AI FX Institute who discuss the motivation behind creating the State of AI FX report. The report aims to bring attention to the most important developments in AI and their societal impacts. The researchers highlight the need to compile information and knowledge from diverse perspectives, including scholars from different fields, to provide a practical and accessible resource for navigating the rapidly evolving field of AI ethics.
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