AI, robotization, quantum computing, IoT, drones, blockchain, cryptocurrencies, NFTs, metaverse, digital art, social commerce, carbon capture, smart cities, DNA modification, space colonization, chip implants, transhumanism: where are we heading to? Micromega Talks is a one-hour open discussion, exploring the future of humanity and technology with critical thinking.
Micromega Talks episode on "Metaverse: Digital Beings and Humans in a Virtual World" livestreamed and recorded on November 29, 2022.
🎙️ Samantha G. Wolfe, Founder @PitchFWD
🎙️ Luis Bravo Martins, CMO @KIT-AR
Hosted and published by Micromega.
🪐 https://micromega.io
Micromega Talks episode on "Web3 Economics: Revenue Privilege and Wealth Distribution" livestreamed and recorded on November 22, 2022.
🎙️ Bronwyn Williams, Partner @Flux Trends
Hosted and published by Micromega.
🪐 https://micromega.io
Micromega Talks episode on "Art Ownership: the NFT as a Tool for the Art World" livestreamed and recorded on November 16, 2022.
🎙️ Pauline Foessel, Founder @Artpool
Hosted and published by Micromega.
🪐 https://micromega.io
Micromega Talks episode on "Digital Wellbeing: Psychology and AI for Human Connections" livestreamed and recorded on October 18, 2022.
🎙️ Edric Subur, Founder & CEO @Warmspace
Hosted and published by Micromega.
🪐 https://micromega.io
Micromega Talks episode on "Social Commerce: In-App Purchases and Consumerism" livestreamed and recorded on September 27, 2022.
🎙️ Kevin Straszburger, Co-Founder & CEO @Objet and Co-Founder @Krak
Hosted and published by Micromega.
🪐 https://micromega.io
Micromega Talks episode on "Quantum Computing: the New Age of Computing" livestreamed and recorded on July 12, 2022.
🎙️ Alina Holcroft, Quantum Committee Member @ISO, Expert @European Commission, and Vice Chairwoman @Feynman Foundation
🎙️ Cassia Naudet-Baulieu, Senior Knowledge Analyst in Deep Tech and Quantum Computing @BCG, and PhD in Quantum @Paris University
During this talk on Quantum Computing, the program of discussion was divided into the 3 following sections:
👾 Understanding the basics of quantum computing (quantum mechanics, bits and qubits, functioning of a quantum computer)
👾 Ecosystem mapping, use cases and future applications of quantum computing (pharma, finance, climate change, overview of the scientific field)
👾 Challenges for research, standardization and adoption by companies (architecture standardization and working groups, testing and transition from companies, open-source)
Hosted and published by Micromega.
Micromega Talks episode on "Explainable AI: from Black-Box to White-Box Algorithms" livestreamed and recorded on July 5, 2022.
🎙️ Ansgar Koene, Global Al Ethics and Regulatory Leader @EY, and Chair @IEEE Standards Working Group on Algorithmic Bias Considerations
🎙️ Gilles Lecerf, PhD Researcher in Philosophy and Technology @Sorbonne University, Lecturer @HEC Paris and @ESSEC Business School, and Podcast Host @Siri, remplis mon verre
During this talk on Explainable AI, the program of discussion was divided into the 3 following sections:
👾 Methodologies, tools and frameworks of Explainable AI (the importance of XAI, certifications from IEEE, types of bias etc)
👾 Global regulations for XAI and the case of EU regulations (overview of the regulations in the world, EU AI Act, current critics)
👾 Explainable AI to build trust and inherent limits of XAI (mission to increase trust in the civil society, technical limits, philosophical debate)
Hosted and published by Micromega.
Micromega Talks episode on "AI Ethics: Ethical Challenges and AI Regulations" livestreamed and recorded on June 28, 2022.
🎙️ Ravit Dotan, PhD, AI Ethics Advisor and Researcher, PhD in Philosophy at UC Berkeley and Contributor at Montreal AI Ethics Institute
🎙️ Camilo Sarmiento Lozano, Researcher in Computational Ethics at Sorbonne University and Co-Founder at SOphIA
During this talk on AI Ethics, the program of discussion was divided into the 4 following sections:
👾 Key definitions to plant a theoretical framework (AI ethics, machine ethics, robot ethics, AI code of ethics)
👾 Ethical challenges and dilemmas (biases and diversity, robot rights, policing surveillance, future of work, transparency of algorithms)
👾 Main actors and stakeholders (Big Tech companies, regulators, governmental initiatives in AI, research institutes)
👾 Critics and ongoing regulations (lobbying toward low AI regulations, the upcoming EU AI Act, standards in US and China)
Hosted and published by Micromega.