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The All Things Risk Podcast

The All Things Risk podcast explores the themes of risk, uncertainty and resilience as applied to sports, the arts, current affairs and just about any other domain. We feature long-form conversations with interesting guests who have loads of fascinating stories, tips and tools.
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Now displaying: September, 2018
Sep 11, 2018

Browse through anything about Artificial Intelligence and machine learning and chances are, you will run into two types of articles: First, you will find all the thought pieces by the likes of the Big 4 accountancy firms, major consultancies, the World Economic Forum and others that discuss all the opportunities that AI provides. Second, you will find very technical articles for the “techies” that focus on the ins and outs of these technologies. What you will struggle to find are pieces and conversations about the key risks and related implications these technologies create with a broader audience in mind. Until now. Today, we talk AI Supremacy.

If you are a long-time listener to the show, then the names Daniel Wagner and Keith Furst should be familiar to you. Both have appeared on the podcast previously (and in Daniel’s case, he has appeared a record four times on the show) and join me again today. The two have recently teamed up to write AI Supremacy: Winning in the Era of Machine Learning. This is a book that makes AI accessible to a broad audience and opens up a conversation that we desperately need to have. I am delighted to bring this one to you.

The book is loaded with fascinating insights and we get into many of these in this episode including:

  • What AI, machine learning and neural networks are;
  • The opportunities AI brings to a range of industries including financial services, manufacturing, healthcare and law;
  • AI in policing and “predictive policing”
  • The risks associated with AI and governance, ethics and privacy;
  • AI and sex and relationships – the world in which we live is going to get weirder in this regard!;
  • International relations and AI – the “race” for AI supremacy;
  • What China is doing in this space and why is leading;
  • What most other countries are not doing and what this means;
  • Governance of AI and what we should be doing to manage its risks;
  • Much more!

Show notes:

The book AI Supremacy: Winning in the Era of Machine Learning

www.ai-supremacy.com

Keith’s firm, Data Derivatives

Keith on LinkedIn

Keith on Twitter 

Daniel on Twitter: https://twitter.com/countryriskmgmt

Daniel’s company, Country Risk Solutions: http://countryrisksolutions.com/

Ep 83 with Keith Furst

Ep 69,  Ep 57, Ep 17 and Ep 10 with Daniel Wagner

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Get your free audio book and 30 day free trial at Audible:

US listeners: get your free trial and audio book at Audible

UK listeners: get your free trial and audio book at Audible

_ _ _ _ _ _ _ _ __ _ _ _ _ _ _

Like what you heard?

Subscribe and/or leave a rating and review on iTunes: http://apple.co/1PjLmK

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Subscribe on Soundcloud: https://soundcloud.com/ben-cattaneo

Follow the podcast on Twitter: https://twitter.com/RiskThings

Drop us a note: allthingsrisk@gmail.com

Sep 3, 2018

As a podcast host, you are not supposed to have favourite episodes – but you still do. This is one of those. I have the pleasure today of bringing you my conversation with Annie Duke. Annie is a decision scientist and former professional poker player. In fact, for two decades, she was one of the best in the world. In 2004, she beat a field of 234 players to win her first World Series of Poker (WSOP) gold bracelet. In 2010, she won the prestigious NBC national Heads Up Poker Championship.

However, this is not an episode about poker – well it isn’t and it is. As you will hear, poker is a game that mimics life. That is because it is all about making decisions under conditions of uncertainty. Therefore, this is a conversation about making decisions. In fact, Annie has a background in cognitive psychology and received a prestigious National Science Foundation fellowship prior to her poker career. She currently is working on many projects in the realm of decision science including with the likes of Phillip Tetlock, a giant in this field.

Earlier this year, Annie’s book was published – Thinking in Bets: Making Smarter Decisions When You Don’t Have All the Facts. It is an excellent book which I highly recommend. We get into a number of the concepts Annie discusses in her book and much, much more including:

  • Annie’s origin story as a poker player and decision scientist;
  • The concept of “resulting” and how we apply this to lives – very useful stuff!
  • “Decision quality” – and why this is so important. Annie discusses an example that comes from American football: the Seattle Seahawks’ coach Pete Carroll’s decision to throw a pass late during Super Bowl 49 which ultimately cost them the game. Contrary to popular opinion, this was a high quality decision that turned out badly – Annie explains why and why we do this type of thing in other domains.
  • Ways in which we can make better decisions;
  • The importance of thinking in probabilities;
  • Why “thinking in bets” is so powerful;
  • Much more! 

Show Notes: 

Annie’s website

Thinking in Bets – Making Smarter Choices When You Don’t Have All the Facts

Annie on Twitter

www.howIdecide.org

Poker players Howard Lederer, Dan Harrington, Erik Seidel

Chris Moneymaker

UBS’ 2018 World Cup prediction model

Hindsight bias

Malcolm Gladwell on “pulling the goalie”

Phillip Tetlock

Charlie Munger

Decision trees

The Hour Between Dog and Wolf by John Coates

 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

Get your free audio book and 30 day free trial at Audible:

US listeners: get your free trial and audio book at Audible

UK listeners: get your free trial and audio book at Audible

_ _ _ _ _ _ _ _ __ _ _ _ _ _ _

Like what you heard?

Subscribe and/or leave a rating and review on iTunes: http://apple.co/1PjLmK

Subscribe on Stitcher: http://www.stitcher.com/podcast/all-things-risk/the-all-things-risk-podcast

Subscribe on Soundcloud: https://soundcloud.com/ben-cattaneo

Follow the podcast on Twitter: https://twitter.com/RiskThings

Drop us a note: allthingsrisk@gmail.com

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