Steve Miller: Will AI Take Your Job? It's Not So Simple.

Steve Miller: Will AI Take Your Job? It's Not So Simple.

Author: Daniel Bashir February 2, 2023 Duration: 1:10:25

In episode 58 of The Gradient Podcast, Daniel Bashir speaks to Professor Steve Miller.

Steve is a Professor Emeritus of Information Systems at Singapore Management University. Steve served as Founding Dean for the SMU School of Information Systems, and established and developed the technology core of SIS research and project capabilities in Cybersecurity, Data Management & Analytics, Intelligent Systems & Decision Analytics, and Software & Cyber-Physical Systems, as well as the management science oriented capability in Information Systems & Management. Steve works closely with a number of Singapore government ministries and agencies via steering committees, advisory boards, and advisory appointments.

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Outline:

* (00:00) Intro

* (02:40) Steve’s evolution of interests in AI, time in academia and industry

* (05:15) How different is this “industrial revolution”?

* (10:00) What new technologies enable, the human role in technology’s impact on jobs

* (11:35) Automation and augmentation and the realities of integrating new technologies in the workplace

* (21:50) Difficulties of applying AI systems in real-world contexts

* (32:45) Re-calibrating human work with intelligent machines

* (39:00) Steve’s thinking on the nature of human/machine intelligence, implications for human/machine hybrid work

* (47:00) Tradeoffs in using ML systems for automation/augmentation

* (52:40) Organizational adoption of AI and speed

* (1:01:55) Technology adoption is more than just a technology problem

* (1:04:50) Progress narratives, “safe to speed”

* (1:10:27) Outro

Links:

* Steve’s SMU Faculty Profile and Google Scholar

* Working with AI by Steve Miller and Tom Davenport



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Hosted by Daniel Bashir, The Gradient: Perspectives on AI moves beyond surface-level headlines to explore the intricate machinery and human ideas shaping artificial intelligence. Each episode is built on a foundation of deep research, leading to conversations that are both technically substantive and broadly accessible. You'll hear from researchers, engineers, and philosophers who are actively building and critiquing our technological future, discussing not just how AI systems work, but the larger implications of their integration into society. This isn't about speculative hype; it's a grounded examination of real progress, persistent challenges, and ethical considerations from those on the front lines. The discussions peel back layers on topics like model architecture, policy, and the fundamental science behind the algorithms becoming part of our daily lives. For anyone curious about the substance behind the buzz-whether you have a technical background or are simply keen to understand a defining technology of our age-this podcast offers a crucial and thoughtful resource. Tune in for a consistently detailed and nuanced take that treats artificial intelligence with the complexity it deserves.
Author: Language: English Episodes: 100

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