High Signal: Data Science | Career | AI Episode 1: The Next Evolution of AI: Markets, Uncertainty, and Engineering Intelligence at Scale
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Oct 19, 2024 Michael Jordan, a leading Professor at UC Berkeley, dives into the future of AI and its planetary-scale potential. He discusses the integration of machine learning, computer science, and economics to tackle complex challenges. The conversation highlights the issues of uncertainty in AI, the importance of collective intelligence in decision-making, and how reliable data can enhance predictive accuracy. Jordan emphasizes the need for responsible technology that positively impacts society, balancing innovation with the necessity for authentic human creativity.
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AI vs. Cybernetics
- The term "artificial intelligence" was coined in reaction to "cybernetics", shifting focus from networks to logic.
- Modern AI's success stems from cybernetic principles like networks and data, not logic-based AI.
Outdated AI in Healthcare
- Michael Jordan shares a story about an outdated AI model used in healthcare.
- It overestimated Down syndrome diagnoses due to using data collected from older ultrasound machines.
Data Provenance for Predictions
- Include provenance information with every AI prediction.
- Consider if the data is outdated and if relevant circumstances have changed.