Sara Hooker, Director at Cohere and head of Cohere For AI, dives into the fascinating world of multilingual language models and responsible AI. She discusses challenges in data quality, the Mixture of Experts technique, and the need for better collaboration between researchers and hardware architects. Sara highlights the emotional connection language models create in society, as well as safety concerns regarding universal AI models. The conversation emphasizes the importance of open science, inclusivity, and responsible practices in AI development for a harmonious future.

Sara Hooker, VP of Research at Cohere and a leading voice in AI efficiency, shares insights on AI governance and the pitfalls of using compute thresholds, like FLOPs, as risk metrics. She critiques current US and EU policies for oversimplifying AI capabilities and emphasizes the need for a holistic view that includes data diversity. Hooker also discusses her research on 'The AI Language Gap,' revealing the complexities of creating inclusive AI that serves multilingual populations, highlighting ethical concerns and the societal implications of underrepresentation in AI development.

Sara Hooker, founder of Cohere For AI and a leader in machine learning research, discusses pivotal topics in the field. She explores the 'hardware lottery' concept, emphasizing how hardware compatibility affects ideas' success. The conversation delves into fairness, highlighting challenges like annotator bias and the need for fairness objectives in model training. Hooker also tackles model efficiency versus size, self-supervised learning's capabilities, and the nuances of prompting in language models, offering insights into making machine learning more accessible and trustworthy.

Sara Hooker, VP of Research at Cohere and a recognized AI innovator, shares insights on scaling laws and their limits, emphasizing how smaller models can outperform larger ones. She discusses the balance between open-source and proprietary models, highlighting the need for inclusivity, particularly for multilingual capabilities. Sara also tackles data accessibility challenges and copyright issues affecting AI training, and reflects on how her diverse upbringing informs her approach to innovative research practices. Expect a thought-provoking conversation on AI's future!

Explore the significance of AI governance and the challenges it presents. Learn about the global efforts to ensure ethical and responsible development of AI. Discover the key takeaways and important themes from the summit. Discuss the concerns and potential regulations surrounding AI. Hear about the achievements of the AI governance summit and the anticipation for AI at Davos.