DataFramed
DataCamp
Welcome to DataFramed, a weekly podcast exploring how artificial intelligence and data are changing the world around us. On this show, we invite data & AI leaders at the forefront of the data revolution to share their insights and experiences into how they lead the charge in this era of AI. Whether you're a beginner looking to gain insights into a career in data & AI, a practitioner needing to stay up-to-date on the latest tools and trends, or a leader looking to transform how your organization uses data & AI, there's something here for everyone. Join co-hosts Adel Nehme and Richie Cotton as they delve into the stories and ideas that are shaping the future of data. Subscribe to the show and tune in to the latest episode on the feed below.
Categories: Technology
Listen to the last episode:
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
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Previous episodes
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276 - #237 Guardrails for the Future of AI with Viktor Mayer-Schönberger, Professor of Internet Governance and Regulation at the University of OxfordThu, 22 Aug 2024 - 0h
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275 - #236 Optimizing Sales Using AI with Ellie Fields, CPEO at SalesloftMon, 19 Aug 2024 - 0h
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274 - #235 Developing Generative AI Applications with Dmitry Shapiro, CEO of MindStudioThu, 15 Aug 2024 - 0h
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273 - #234 High Performance Generative AI Applications with Ram Sriharsha, CTO at PineconeMon, 12 Aug 2024 - 0h
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272 - #233 Generative AI at EY with John Thompson, Head of AI at EYThu, 08 Aug 2024 - 0h
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271 - #232 How are Businesses Really Using AI? With Tathagat Varma, Global TechOps Leader at Walmart Global TechMon, 05 Aug 2024
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270 - #231 Manage Your Data Better with Shinji Kim, CEO at Select StarThu, 01 Aug 2024 - 0h
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269 - #230 Scaling Experimentation at American Express with Amit Mondal, VP & Head of Digital Analytics & Experimentation at American ExpressMon, 29 Jul 2024 - 0h
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267 - #229 Inside Meta's Biggest and Best Open-Source AI Model Yet with Thomas Scialom, Co-Creator of Llama3Thu, 25 Jul 2024 - 0h
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266 - #228 Are Spreadsheets Still Relevant For Data Analysis? with Jordan Goldmeier, Author of Data SmartMon, 22 Jul 2024 - 0h
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265 - #227 DataFramed x Analytics On Fire: Riding the AI Hype Cycle with Mico Yuk, Co-Founder at Data Storytelling AcademyThu, 18 Jul 2024 - 0h
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264 - #226 Creating Custom LLMs with Vincent Granville, Founder, CEO & Chief Al Scientist at GenAltechLab.comMon, 15 Jul 2024 - 0h
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263 - #225 The Full Stack Data Scientist with Savin Goyal, Co-Founder & CTO at OuterboundsThu, 11 Jul 2024 - 0h
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262 - #224 What History Tells Us About the Future of AI with Verity Harding, Author of AI Needs YouMon, 08 Jul 2024 - 0h
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261 - #223 [Radar Recap] Charting the Path: What the Future Holds for Generative AIThu, 04 Jul 2024 - 0h
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260 - #222 [Radar Recap] Scaling Data Quality in the Age of Generative AIWed, 03 Jul 2024 - 0h
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259 - #221 [Radar Recap] The Future of Programming: Accelerating Coding Workflows with LLMsTue, 02 Jul 2024 - 0h
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258 - #220 [Radar Recap] Building Tomorrow's Workforce, Today: Scaling Internal AI AcademiesMon, 01 Jul 2024 - 0h
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257 - #219 Building a Data Platform that Drives Value with Shuang Li, Group Product Manager at BoxThu, 27 Jun 2024 - 0h
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256 - #218 Designing AI Applications with Robb Wilson, Co-Founder & CEO at Onereach.aiMon, 24 Jun 2024 - 0h
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255 - #217 Data & AI at Tesco with Venkat Raghavan, Director of Analytics and Science at TescoThu, 20 Jun 2024 - 0h
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254 - #216 Perplexity & the Future of AI with Denis Yarats, Co-Founder and CTO at Perplexity AIMon, 17 Jun 2024 - 0h
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253 - #215 Seeing the Data Layer Through Spatial Computing with Cathy Hackl and Irena CroninThu, 13 Jun 2024 - 0h
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252 - #214 Learning & Memory, For Brains & AI, with Kim Stachenfeld, Senior Research Scientist at Google DeepMindMon, 10 Jun 2024 - 0h
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251 - #213 Building Trust Through Data with Prukalpa Sankar, Co-Founder of AtlanThu, 06 Jun 2024 - 0h
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250 - #212 The History of Data and AI, and Where It's Headed with Cristina Alaimo, Assistant Professor at Luiss Guido Carli UniversityMon, 03 Jun 2024 - 0h
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249 - #211 What is AIOps? With Assaf Resnick, Co-Founder & CEO of BigPandaThu, 30 May 2024 - 0h
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248 - #24 Data Science in the CloudMon, 28 May 2018 - 0h
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247 - #23 Online Experiments at Booking.comMon, 21 May 2018 - 0h
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246 - #22 Robust Data Science with Statistical ModelingMon, 14 May 2018 - 0h
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245 - #21 The Fight Against CancerMon, 07 May 2018 - 0h
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244 - #20 Kaggle and the Future of Data ScienceMon, 30 Apr 2018 - 0h
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243 - #19 Automated Machine LearningMon, 23 Apr 2018 - 0h
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242 - #18 Deep Learning at NVIDIAMon, 16 Apr 2018 - 0h
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241 - #17 Biology and Deep LearningMon, 09 Apr 2018 - 0h
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240 - #15 Building Data Science TeamsMon, 26 Mar 2018 - 0h
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239 - #13 Fake News Detection with Data ScienceMon, 12 Mar 2018 - 0h
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238 - #12 Data Science, Nuclear Engineering and the Open SourceMon, 05 Mar 2018 - 0h
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237 - #11 Data Science at BuzzFeed and the Digital Media LandscapeMon, 26 Feb 2018 - 0h
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236 - #10 Data Science, the Environment and MOOCsMon, 19 Feb 2018 - 0h
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235 - #9 Data Science and Online Experiments at EtsyMon, 12 Feb 2018 - 0h
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234 - #8 Data Science, Astronomy and the Open SourceMon, 05 Feb 2018 - 0h
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233 - #7 Data Science at AirbnbMon, 29 Jan 2018 - 0h
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232 - #2 How Data Science is Impacting Telecommunications NetworksWed, 17 Jan 2018 - 0h
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231 - #3 How Data Science and Machine Learning are Shaping Digital AdvertisingWed, 17 Jan 2018 - 0h
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230 - #4 How Data Science is Revolutionizing the Trucking IndustryWed, 17 Jan 2018 - 0h
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229 - #6 Citizen Data ScienceWed, 17 Jan 2018 - 0h
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228 - #5 Data Science, Epidemiology and Public HealthWed, 17 Jan 2018 - 0h
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227 - #1 Data Science, Past, Present and FutureTue, 16 Jan 2018 - 0h
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226 - #0 Introducing DataFramedMon, 15 Jan 2018 - 0h
