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How is AI Likely to Evolve in the Future, and Why is it so Difficult to Predict? | Ep. 5
Manage episode 461187533 series 3615152
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Allan Tate and Irving Wladawsky-Berger discuss the evolution of AI and its unpredictable future. They reflect on AI's roots with pioneers like Turing and Minsky, the shift from rule-based programming to machine learning, and the societal and ethical dilemmas AI poses today. Key topics include why AI breakthroughs often surprise even experts, how historical biases shaped its development, and the balance between embracing innovation and managing risks. This episode offers rich insights into the forces shaping AI and the challenges of predicting its impact.
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Reference Post(s):
From Public Square:
AI Advances Aren’t Likely to Occur Nearly as Quickly as Many Believe
https://mitcio.com/posts/69786931?utm_source=manual
Who Will Be Proved Right? The Bullish or the Skeptic AI Camp?
https://mitcio.com/posts/71533799?utm_source=manual
Artificial Intelligence: Realistic Expectations vs. Irrational Exuberance
https://mitcio.com/posts/60832964?utm_source=manual
Machine Learning Has an AI Problem
https://mitcio.com/posts/60832812?utm_source=manual
From Irving’s Blog:
Data-Centric AI: the Systematic Engineering of Data to Build AI Systems
https://blog.irvingwb.com/blog/2023/07/the-emerging-concept-of-data-centric-ai.html
The Puzzling Economic Impact of Transformative Technologies
The Future of AI: a Ubiquitous, Invisible, Smart Utility
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