『EP5: Robots (2023): Robot Doubles, Reinforcement, and the Future of Human Jobs』のカバーアート

EP5: Robots (2023): Robot Doubles, Reinforcement, and the Future of Human Jobs

EP5: Robots (2023): Robot Doubles, Reinforcement, and the Future of Human Jobs

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In this episode, we dive deep into Robots (2023) - a sci-fi rom-com set in a near-future America where humans use robot doubles to scam love and wealth. But beneath the laughs and chaos, the movie reveals important questions about autonomy, machine learning, and the future of work.What You'll Learn:AI Concepts from the Big ScreenHow robot doubles in Robots reflect real-world machine learning (ML) modelsThe line between instruction and autonomy in artificial agentsReinforcement learning and how AI learns from ''rewards'' - even problematic onesLegal and Ethical InsightsJob displacement through automation and the ethics of AI-enabled productivityWhy ''human protectionism'' might be needed to preserve economic stabilityPolicy in PracticeHow countries like Nigeria, the US and Canada are (or aren't) preparing for AI's impact on employmentState-level programs in the US supporting worker upskilling and trainingHow legal frameworks like the Industrial Training Fund Act (Nigeria) and Quebec's 1% training law offer blueprints for the AI eraReal-World ExamplesHow Spotify's recommendation engine likely introduced you to this podcastWhy self-driving cars and robots rely on reinforcement learningLessons from Daron Acemoglu on who really benefits from technologyResources Mentioned1% training law: Do you know yourobligations Canada - https://www.bdo.ca/insights/the-1-percent-training-law-in-quebec Chapter 04 Basic Skill Training orRetraining Tax Credit Mississippi https://sos.ms.gov/ACProposed/00018881b.pdf Employment equity Canada https://www.chrc-ccdp.gc.ca/individuals/employment-equity#:~:text=About%20the%20Employment%20Equity%20Act,-The%20Employment%20Equity&text=The%20Employment%20Equity%20Act%20requires,with%20disabilities%2C%20and%20racialized%20people.Employer Training Investment Program(ETIP) Illinois https://ima-net.org/etip/ Employment Training Panel California https://etp.ca.gov/ Explaining decisions made with AI https://drive.google.com/file/d/1bLYxQHUxs26bXLRyaVVQf4Zi6xCVFt-G/view?usp=drive_linkHow Recommendation Engines Work - https://thecondia.com/how-recommendation-engines-work/ Incumbent Worker Training Connecticut https://www.ewib.org/business-services-team/incumbent-worker-training/ Machine Learning for Dummies https://drive.google.com/file/d/1jAjakV2w0DyMSwfQ4Vy536G6HeLyXGfX/view?usp=drive_linkMaze patrolling by rats with and withoutfood reward https://link.springer.com/article/10.3758/BF03208022Medical Devices 2030: Making a power playto avoid the commodity trap https://drive.google.com/file/d/1J5ErXFFImsACPIhY5ssbFpJFc9kSHUfM/view?usp=drive_linkMicrosoft laying off about 6000 people, or3% of its workforce https://www.cnbc.com/2025/05/13/microsoft-is-cutting-3percent-of-workers-across-the-software-company.html Next Level Jobs Indiana https://www.in.gov/dwd/nextleveljobs/home/ Ohio Tech Cred https://www.ohio.edu/lancaster/techcred Power, progress, and technology (withDaron Acemoglu) https://open.spotify.com/episode/2mS1eyqiF772yGNijLB6DL?si=c4be5f454bb54cdc Quantum Computing & ReinforcementLearning: Partners in Achieving Artificial General Intelligence https://drive.google.com/file/d/1iaLdEfOGdBthtSBjEI96Fbz963lWMpcC/view?usp=sharingRegulation 29 - Department of WorkforceServices – Training Trust Fund Program Arkansas https://dws.arkansas.gov/wp-content/uploads/DWS-Training-Trust-Fund-Regulations.pdf Reward is enough https://drive.google.com/file/d/11_UVbxnTUOG1lFM6TM7sUKpcl3qSdD1q/view?usp=drive_linkSummary of Part II of the Canada LabourCode https://www.canada.ca/en/employment-social-development/services/health-safety/reports/summary.html UPSKILL: NJ Incumbent Worker TrainingGrant Program New Jersey https://www.nj.gov/labor/assets/PDFs/Grants/FY25/FY25%20UPSKILL%20NGO%208-13-2024.pdf Next Episode TeaserThe Pod Generation (2023) - Artificial wombs, shared pregnancies, and the ethics of AI in reproductive health.
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