How is AI Likely to Evolve in the Future, and Why is it so Difficult to Predict? | Ep. 5

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

https://blog.irvingwb.com/blog/2019/12/the-economic-impact-of-historically-transformative-technologies.html

The Future of AI: a Ubiquitous, Invisible, Smart Utility

https://blog.irvingwb.com/blog/2014/11/ai-an-invisible-ubiquitous-industrial-grade-digital-smartness.html