Conference:  Transform X 2022

Authors: Emad Mostaque, Alexandr Wang

2022-10-19

The speaker discusses the democratization of AI and the importance of diversity in data sets to ensure aligned artificial intelligence. They argue for the need to build smaller, more democratized models that impact a broader set of people and allow for adaptation to social issues. The speaker also emphasizes the importance of transparency in the development of AI models and the need for human feedback in reinforcement learning.

• AI democratization and diversity in data sets are crucial for aligned artificial intelligence
• Smaller, more democratized models are needed to impact a broader set of people and adapt to social issues
• Transparency in AI model development is necessary
• Human feedback is crucial in reinforcement learning