AI Risk Reward AI Breakthroughs, AlphaFold and Ethical Boundaries with Ron Green, Co-Founder and CTO of Kung Fu AI
In the AI Risk Reward podcast, our host, Alec Crawford (@alec06830), Founder and CEO of Artificial Intelligence Risk, Inc. aicrisk.com interviews guests about balancing the risk and reward of Artificial Intelligence for you, your business, and society as a whole. Podcast production and sound engineering by Troutman Street Audio. You can find them on LinkedIn and at troutmanstreetaudio.com. You can hear the difference.
In this engaging episode of the AI Risk Reward Podcast, host Alec Crawford and guest Ron Green, co-founder and CTO of Kung Fu AI, delve into the evolving landscape of artificial intelligence and its profound impact across various sectors. They explore groundbreaking advancements like DeepMind's AlphaFold, discuss the ethical challenges and biases in AI, and forecast the future integration of AI technologies in industries such as engineering and healthcare. With insightful anecdotes and expert perspectives, this episode offers listeners a comprehensive understanding of AI's current capabilities and its transformative potential.
Summary
1. Evolutionary and Adaptive Systems: Ron Green discussed his educational background in computer science and a master's degree focused on evolutionary and adaptive systems, emphasizing genetic algorithms and genetic programming. He highlighted the importance of understanding foundational theoretical concepts in computer science to adapt to technological changes over time.
2. AI in Biology - AlphaFold: Ron Green praised Demis Hassabis and his work with DeepMind on AlphaFold, a breakthrough AI technology that predicts protein structures. This advancement is crucial for understanding biological functions and has been considered a grand challenge in biology for decades. AlphaFold's development marked a significant leap in the application of AI to solve complex biological problems.
3. AI's Ubiquity in Engineering: Ron Green predicted that AI would become as integral to industries as the internet, affecting fields like mechanical and civil engineering. He mentioned that AI's impact would be broad, transitioning from perceptive and generative phases to more sophisticated applications, including robotics and physical AI.
4. Ethical Considerations and Bias in AI: Ron Green shared experiences of facing ethical dilemmas in AI projects, such as refusing to work on weapon-targeting systems. He stressed the importance of addressing biases in AI systems, as they can replicate data biases, potentially leading to unfair outcomes.
5. AI's Future and Industry Implications: The discussion touched on the potential risks and benefits of AI, particularly concerning AGI (Artificial General Intelligence) and ASI (Artificial Super Intelligence). Ron Green expressed concerns about alignment with human values and highlighted the current hype cycle in AI, predicting that while there might be fluctuations in interest, the utility of AI ensures its continued relevance.
References
Books
- The Selfish Gene by Richard Dawkins: A popular science book discussing genetics and natural selection from the gene's perspective.
- Demis Hassabis: Co-founder of DeepMind, known for his work on AI and AlphaFold.
- DeepMind and AlphaFold: A leading AI research lab known for breakthroughs in AI, particularly in protein folding with AlphaFold.
- The Singularity is Near by Ray Kurzweil: A book exploring the future of technology and AI
Schools/Companies
- University of Sussex: Known for its research and focus on evolutionary and adaptive systems.
- University of Texas at Austin: Mentioned in the context of AI and machine learning research.
- Kung Fu AI: A company co-founded by Ron Green, specializing in AI solutions and strategies https://www.kungfu.ai
- AI Risk, Inc. Accelerates the adoption of Gen AI safely. They provide a secure enterprise AI platform for banks and other regulated organizations. https://www.aicrisk.com
Movies
- The Godfather: A classic film often considered one of the best movies ever made.