The AI Experience

The AI Experience

By Lloyd DanzigTechnology
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The AI Experience episodes

  • Episode 013: Algorithmic Bias

    In this episode, Lloyd talks about ICED(AI)'s pledge to provide $100,000 worth of pro-bono consulting hours to small businesses and individuals who have been impacted by discrimination and social unrest. The conversation then focuses on the ways in which human biases seep into algorithmic decision making, as well as the impact of this phenomenon on society. 

    You can read more about the pledge here: https://bit.ly/ICEDAI_Pledge

    Episode Guide:

    • 2:02 - The ICED(AI) Pledge
    • 3:20 - Intro to Algorithmic Bias
    • 6:40 - Racial Bias in Healthcare Algorithms
    • 10:18 - Biased Training Data
    • 12:10 - The Orwellian Future of Facial Recognition
    • 14:51 - Algorithmic Accountability
    • 16:04 - Disparate Algorithmic Impact
    • 18:04 - The Curious Case of Car Insurance
    • 19:56 - Effective Altruism & Challenging Assumptions
    • 24:29 - A North Korean Anecdote
    • 29:44 - The Need for Compassion & Empathy
    • More Info:

      • Visit us at aiexperience.org
      • Brought to you by ICED(AI)
      • Host - Lloyd Danzig
      • 33 min
      • Episode 012: Ambiguity

        In this episode, Lloyd discusses why it is that machines struggle to interpret ambiguous input, and what the implications are for the pursuit of Artificial General Intelligence (AGI) . The conversation focuses on a blog post by ICED(AI) advisory, Michael Stiefel, which can be found at bit.ly/ArtAndSoftware_Ambiguity.

        Episode Guide:

        • 1:42 - Machine Intelligence & Art
        • 6:15 - Real World Recursion, Simulations and Simulacra
        • 9:49 - Moravec's Paradox, Revisited
        • 13:07 - "The city council refused the demonstrators a permit because they [feared/advocated] violence."
        • 16:10 - Anthropic Bias and Practicality
        • 19:48 - Existential Risk
        • 21:33 - "Code Is Law"
        • 25:25 - The Threat of Ambiguity
        • More Info:

          • Visit us at aiexperience.org
          • Brought to you by ICED(AI)
          • Host - Lloyd Danzig
          • 30 min
          • Episode 011: Free Will

            In this episode, Lloyd and Geoff discuss what it would mean for a machine to exercise agency or volition. The conversation touches upon topics including quantum mechanics, ethics, metaphysics, causality, and parallel universes, in addition to Artificial Intelligence. 

            Episode Guide:

            • 2:46 - Can Machines Have Free Will?
            • 7:36 - Distinguishing Lies From Errors
            • 14:06 - Libertarianism, Determinism, Compatibilism
            • 21:41 - Comments on Causality
            • 28:53 - The Unknowable Unknowns & Butterfly Effect
            • 34:33 - The Multiverse & Quantum Suicide
            • 41:50 - The Illusion of the Self & Linguistic Ambiguity
            • 48:08 - Can Machines Have Free Will?
            • 50:18 - The Anthropic Principle
            • More Info:

              • Visit us at aiexperience.org
              • Brought to you by ICED(AI)
              • Hosts - Lloyd Danzig, Geoff Johnson
              • 56 min
              • Episode 010: Optimization Pt. 2

                In this episode, Lloyd and Geoff continue their conversation regarding the viewpoint that life itself may be properly conceived of as a convex optimization problem. They touch upon a number of interesting philosophical concepts and also give proper kudos to acclaimed Yale Professor, Dr. Laurie Santos, whose class, The Science of Well-Being, and podcast, The Happiness Lab, are highly recommended for anyone interested in the topic.

                Episode Guide:

                • 2:15 - Optimization in Everyday Life: A Bottom-Up Analysis
                • 11:06 - Mistaking Local Extrema for Global Extrema
                • 13:27 - The Hedonic Treadmill & Pursuing Goals
                • 18:02 - Evolution by Natural Optimization
                • 22:07 - The Science of Well-Being 
                • 28:48 - Being Happy vs. Becoming Happy
                • 29:50 - Framing, Expectations, & Energy Constraints
                • 34:31 - The Advantage of Life as an Optimization Problem
                • 41:08 - A Segue Into GOFAI & AGI
                • 44:50 - Closing Thoughts
                • More Info:

                  • Visit us at aiexperience.org
                  • Brought to you by ICED(AI)
                  • Hosts - Lloyd Danzig, Geoff Johnson
                  • 51 min
                  • Episode 009: Optimization Pt. 1

                    In this episode, Lloyd and Geoff delve into the nature of optimization problems in mathematics and their role in Artificial Intelligence. They then discuss the concept of reimagining one's life as a convex optimization problem. 

                    Episode Guide:

                    • 1:55 - Introduction to Optimization
                    • 9:02 - The Role of Optimization in AI Systems
                    • 14:21 - Exploring via Gradient Descent
                    • 17:53 - Imagining Life as a Convex Optimization Problem
                    • 21:58 - The Parameterization of Happiness 
                    • 24:55 - The Fractal Nature of Entropy
                    • 26:32 - Happiness, Utility, and Attention
                    • 32:28 - Questioning the Model
                    • 36:34 - A Discussion on Decision Fatigue
                    • 39:25 - Properly Scoping the Optimization Problem
                    • 48:10 - The Utility of the Expected Value Framework
                    • More Info:

                      • Visit us at aiexperience.org
                      • Brought to you by ICED(AI)
                      • Hosts - Lloyd Danzig, Geoff Johnson
                      • 52 min
                      • Episode 008: Paradoxes

                        In this episode, recorded before the COVID-19 pandemic, Lloyd and Geoff dissect Artificial Intelligence through the lens of paradoxes that originate in a variety of different disciplines. They discuss what the requirements for achieving the synthesis of human intelligence ought to be and how 

                        Episode Guide:

                        • 1:13 - Exploring Moravec's Paradox
                        • 6:36 - The Bounding Box For AI
                        • 10:53 - Thoughts on Creativity
                        • 14:16 - A Word on Narrow vs. General Intelligence
                        • 19:07 - The Call for Skepticism & Caution
                        • 25:07 - The Coastline Paradox 
                        • 32:36 - Uncovering Phenomenological Biases Through Xeno's Paradox
                        • 38:22 - The Relevance of Artificial Intelligence
                        • 39:56 - The Unexpected Hanging Paradox
                        • 42:56 - The Raven Paradox
                        • 48:36 - Closing Thoughts on Skepticism & Caution
                        • More Info:

                          • Visit us at aiexperience.org
                          • Brought to you by ICED(AI)
                          • Hosts - Lloyd Danzig, Geoff Johnson
                          • 52 min
                          • Episode 007: The Coronavirus Pandemic

                            In this special episode, Lloyd and Geoff discuss the current crisis surrounding the coronavirus and COVID-19. They talk about the ways in which businesses and individuals are impacted, how Artificial Intelligence and Machine Learning can play a role in finding a solution, and what opportunities currently exist for engineers and data scientists. 

                            Episode Guide:

                            • 2:16 - Dr. Javier Mendoza, a Covid-19 Hero (and ICED(AI) Charter Member)
                            • 3:33 - Always Be Closing, Pandemics Notwithstanding 
                            • 6:16 - Seeking a Market Bottom
                            • 12:58 - Briefly Considering Options & Impacts
                            • 16:14 - The Role of AI in Combating the Coronavirus
                            • 17:50 - The Role of Technology During a Pandemic
                            • 22:42 - A Case of Mistaken Identity & Market Participation Amidst a Panic
                            • 24:41 - How to Optimize Time Spent in Quarantine
                            • 30:04 - Lasting Impacts on Business and Tech
                            • 31:34 - Opportunities for Engineers
                            • More Info:

                              • Visit us at aiexperience.org
                              • Brought to you by ICED(AI)
                              • Hosts - Lloyd Danzig, Geoff Johnson
                              • 38 min
                              • Episode 006: Facial Recognition

                                In this episode, Lloyd and Geoff discuss some of the most concerning aspects of facial recognition technology, as well as the potential for benevolent use cases and positive externalities.

                                Episode Guide:

                                • 2:16 - Intro to Facial Recognition
                                • 8:31 - Clearview AI & Legal Concerns
                                • 9:51 - Dangers of Biased Training Data
                                • 15:20 - How Intelligent is Artificial Intelligence?
                                • 16:47 - An Existential Cost-Benefit Analysis
                                • 19:33 - The Expectation of Benevolence and Transparency
                                • 25:17 - Trading Privacy for Security  
                                • 32:23 - The Future Threat of Emotional Recognition
                                • 39:56 - Silver Lining or Inevitable Surveillance State?
                                • More Info:

                                  • Visit us at aiexperience.org
                                  • Brought to you by ICED(AI)
                                  • Hosts - Lloyd Danzig, Geoff Johnson
                                  • 51 min
                                  • Episode 005: Sports Betting

                                    In this episode, Lloyd and Geoff discuss the role of artificial intelligence in the US sports betting ecosystem amid its exponential growth phase. They also cover the ethical, economic, and regulatory aspects of this burgeoning industry.

                                    Episode Guide:

                                    • 1:30 - Intro to Sports Betting & State of The Industry
                                    • 4:56 - Historical Role of Predictive Analytics
                                    • 10:48 - Evolving Role of Machine Learning
                                    • 13:07 - Risk Management for Sportsbooks
                                    • 16:13 - Additional Use Cases
                                    • 18:42 - Responsible (Sustainable) Gaming
                                    • 23:30 - Ethics of Legalized Sports Betting
                                    • 30:31 - Economic vs. Social Interests
                                    • 31:40 - Offshore and Unregulated Markets
                                    • 33:07 - The Utilitarian Case for Sports Betting
                                    • 36:46 - Leagues vs. Operators, Integrity Concerns, & Match Fixing
                                    • 41:00 - Official League Data Mandates
                                    • 45:30 - Thoughts on Regulation and Betting Exchanges
                                    • More Info:

                                      • Visit us at aiexperience.org
                                      • Brought to you by ICED(AI)
                                      • Hosts - Lloyd Danzig, Geoff Johnson
                                      • 58 min
                                      • Episode 004: The Future of Healthcare

                                        In this episode, Lloyd and Geoff discuss the incredible benefits provided by the use of AI in healthcare, along with some of the terrifying ethical dilemmas that said use causes to manifest.

                                        Episode Guide:

                                        • 1:19 - Google's AI Breast Cancer Detection Engine
                                        • 5:50 - Ethical Dilemmas & Causes For Concern
                                        • 9:25 - Use Cases For AI in Healthcare
                                        • 14:13 - Data Privacy, Data Mining, & Data Rights
                                        • 20:21 - Digitization of Electronic Health Records (EHRs)
                                        • 25:24 - The Human Element
                                        • 32:22 - Keeping Perspective
                                        • More Info:

                                          • Visit us at aiexperience.org
                                          • Brought to you by ICED(AI)
                                          • Hosts - Lloyd Danzig, Geoff Johnson
                                          • 36 min

                                          About The AI Experience

                                          From the publisher's feed

                                          An exploration of the trends and discussion of the topics in AI that are shaping the future, brought to you by the International Consortium for the Ethical Development of Artificial Intelligence.