Sign up to save your podcasts
Or
Share #237 Guardrails for the Future of AI with Viktor Mayer-Schönberger, Professor of Internet Governance and Regulation at the University of Oxford
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
#237 Guardrails for the Future of AI with Viktor Mayer-Schönberger, Professor of Internet Governance and Regulation at the University of Oxford
Guardrails are not something we actively use in our day-to-day lives, they’re in place to keep us safe when we lack the control needed to keep us on course, and for that, they are essential. Navigating the complexities of decision-making in AI and data can be challenging, especially on a global scale when many are searching for any sort of competitive advantage. Every choice you make can have significant impacts, and having the right frameworks, ethics and guardrails in place are crucial. But how do you create systems that guide decisions without stifling creativity or flexibility? What practices can you employ to ensure your team consistently make better choices and flourish in the age of AI?
Viktor Mayer-Schönberger is a distinguished Professor of Internet Governance and Regulation at the Oxford Internet Institute, University of Oxford. With a career spanning over decades, his research focuses on the role of information in a networked economy. He previously served on the faculty of Harvard’s Kennedy School of Government for ten years and has authored several influential books, including the award-winning “Delete: The Virtue of Forgetting in the Digital Age” and the international bestseller “Big Data.” Viktor founded Ikarus Software in 1986, where he developed Virus Utilities, Austria’s best-selling software product. He has been recognized as a Top-5 Software Entrepreneur in Austria and has served as a personal adviser to the Austrian Finance Minister on innovation policy. His work has garnered global attention, featuring in major outlets like the New York Times, BBC, and The Economist. Viktor is also a frequent public speaker and an advisor to governments, corporations, and NGOs on issues related to the information economy.
In the episode, Richie and Viktor explore the definition of guardrails, characteristics of good guardrails, guardrails in business contexts, life-or-death decision-making, principles of effective guardrails, decision-making and cognitive bias, uncertainty in decision-making, designing guardrails, AI and the implementation of guardrails, and much more.
Links Mentioned in the Show:
- Guardrails: Guiding Human Decisions in the Age of AI by Urs Gasser and Viktor Mayer-Schönberger
- Book - The Checklist Manifesto by Atul Gawande
- Connect with Viktor
- Course - AI Ethics
- Related Episode: Making Better Decisions using Data & AI with Cassie Kozyrkov, Google's First Chief Decision Scientist
- Rewatch sessions from RADAR: AI Edition
New to DataCamp?
- Learn on the go using the DataCamp mobile app
Empower your business with world-class data and AI skills with DataCamp for business
View all episodes
By DataCamp
4.9
266266 ratings
Guardrails are not something we actively use in our day-to-day lives, they’re in place to keep us safe when we lack the control needed to keep us on course, and for that, they are essential. Navigating the complexities of decision-making in AI and data can be challenging, especially on a global scale when many are searching for any sort of competitive advantage. Every choice you make can have significant impacts, and having the right frameworks, ethics and guardrails in place are crucial. But how do you create systems that guide decisions without stifling creativity or flexibility? What practices can you employ to ensure your team consistently make better choices and flourish in the age of AI?
Viktor Mayer-Schönberger is a distinguished Professor of Internet Governance and Regulation at the Oxford Internet Institute, University of Oxford. With a career spanning over decades, his research focuses on the role of information in a networked economy. He previously served on the faculty of Harvard’s Kennedy School of Government for ten years and has authored several influential books, including the award-winning “Delete: The Virtue of Forgetting in the Digital Age” and the international bestseller “Big Data.” Viktor founded Ikarus Software in 1986, where he developed Virus Utilities, Austria’s best-selling software product. He has been recognized as a Top-5 Software Entrepreneur in Austria and has served as a personal adviser to the Austrian Finance Minister on innovation policy. His work has garnered global attention, featuring in major outlets like the New York Times, BBC, and The Economist. Viktor is also a frequent public speaker and an advisor to governments, corporations, and NGOs on issues related to the information economy.
In the episode, Richie and Viktor explore the definition of guardrails, characteristics of good guardrails, guardrails in business contexts, life-or-death decision-making, principles of effective guardrails, decision-making and cognitive bias, uncertainty in decision-making, designing guardrails, AI and the implementation of guardrails, and much more.
Links Mentioned in the Show:
- Guardrails: Guiding Human Decisions in the Age of AI by Urs Gasser and Viktor Mayer-Schönberger
- Book - The Checklist Manifesto by Atul Gawande
- Connect with Viktor
- Course - AI Ethics
- Related Episode: Making Better Decisions using Data & AI with Cassie Kozyrkov, Google's First Chief Decision Scientist
- Rewatch sessions from RADAR: AI Edition
New to DataCamp?
- Learn on the go using the DataCamp mobile app
Empower your business with world-class data and AI skills with DataCamp for business
More shows like DataFramed
View all
The Changelog: Software Development, Open Source
284 Listeners
Data Skeptic
475 Listeners
Talk Python To Me
583 Listeners
Software Engineering Daily
624 Listeners
Super Data Science: ML & AI Podcast with Jon Krohn
296 Listeners
NVIDIA AI Podcast
339 Listeners
Data Engineering Podcast
141 Listeners
Machine Learning Guide
770 Listeners
Practical AI
188 Listeners
The Stack Overflow Podcast
63 Listeners
The Real Python Podcast
140 Listeners
Last Week in AI
298 Listeners
Machine Learning Street Talk (MLST)
91 Listeners
Latent Space: The AI Engineer Podcast
71 Listeners
Training Data
43 Listeners