Conference:  Transform X 2022

Authors: Alan Cowen

2022-10-19

Humans evolved to communicate with other humans, not with algorithms. So, to create algorithms that are better at doing what we want, we need to understand how humans communicate. Alan Cowen, CEO and Chief Scientist at Hume AI, discusses how algorithms can better understand human communication and the role this will play in the future. Cowen covers semantic space theory, a new data-driven way of thinking about emotions and how we express them. Hume runs experiments all over the world to see how humans express themselves, and measures nuances of expression in voice, language, face, and body movements. Hume then leverages this data to fine-tune models, such as GPT-3 to create a model that controls the emotional tone of a response. The goal is to create more responsive assistive technology and to enhance training tools for healthcare professionals and others. He also discusses what new datasets and models are teaching us about the vocabulary of human expression and some of Hume’s findings, and how expressive communication and empathy can be built into modern technology. Cowen is an applied mathematician and computational emotion scientist. Prior to founding Hume AI, he was a researcher at Google AI, where he helped establish affective computing research efforts.

Conference:  Transform X 2022

Authors: Eric Schmidt, Alexandr Wang

2022-10-19

The speaker discusses the importance of public funding and government participation in advancing key industries, particularly in the field of AI. He also highlights the potential of AI as a tool to accelerate progress in various industries, including biotechnology. The speaker emphasizes the urgency of adopting AI technology and bridging the gap between the old and new economy.

• There is a generational shift in the industry with many smart people coming in, particularly in the field of computer science and AI.
• Public funding and government participation are necessary to move key industries forward.
• AI is a platform technology that can be utilized as a tool to accelerate progress in various industries, including biotechnology.
• There is a massive gap between the old and new economy, and urgent adoption of AI technology is necessary.
• The open source community is catching up to the big tech companies in terms of AI innovation.

Conference:  OpenAI + Data Forum 2022

Authors: Ritwik Sharma

2022-06-23

Developing AI with cognitive capabilities requires a different approach than traditional engineering and science methods.

• Current AI does not act on its own, but rather does exactly what it is programmed to do
• Artificial neural networks are the closest we have come to human intelligence in AI
• Training AI requires large amounts of data, unlike a baby who learns through experience
• AI can make mistakes based on the data it is trained on
• Developing AI with cognitive capabilities requires a different approach than traditional engineering and science methods