seminarprogramm
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seminarprogramm [2020/11/16 09:42] payan [Seminar 2020/2021: Ethical issues, law & novel applications of AI (MIE 630)] |
seminarprogramm [2020/11/16 09:43] payan [Seminar 2020/2021: Ethical issues, law & novel applications of AI (MIE 630)] |
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| Véronique Magnier is on the board of Transparency International France and an active member of various national, European or international associations or institutes (Trans Europe Experts, Société de Legislation comparée, European Corporate Governance Institute…). | Véronique Magnier is on the board of Transparency International France and an active member of various national, European or international associations or institutes (Trans Europe Experts, Société de Legislation comparée, European Corporate Governance Institute…). | ||
| - | <color #00a2e8>**March 5**</color> **Social and Market Context for AI Advances, Hugo Loi, General Manager Pixminds** room: Curie Amphitheatre, in the X building - c//ompulsory registration for external persons ; students of the AI-ViC master programme are automatically registered)//) introduced by Véronique Steyer/Louis Vuarin | + | <color #00a2e8>**March 5**</color> - **Social and Market Context for AI Advances, Hugo Loi, General Manager Pixminds** room: Curie Amphitheatre, in the X building - c//ompulsory registration for external persons ; students of the AI-ViC master programme are automatically registered)//) introduced by Véronique Steyer/Louis Vuarin |
| **Abstract**: As the computing tools to match and best human intelligence get better, a massive amount of real-world problems becomes accessible to artificial intelligence. Still, every and each one of us has been educated to have humans solve these problems, such as medical diagnosis and airplane piloting. As a consequence, very few AI solutions will make it through ethical, legal, financial and market barriers before getting to the users in the next five years. Which ones? That is the question every AI entrepreneur wants to answer. This talk discusses 5 simple yet unsolved AI problems that could make it through the filters. | **Abstract**: As the computing tools to match and best human intelligence get better, a massive amount of real-world problems becomes accessible to artificial intelligence. Still, every and each one of us has been educated to have humans solve these problems, such as medical diagnosis and airplane piloting. As a consequence, very few AI solutions will make it through ethical, legal, financial and market barriers before getting to the users in the next five years. Which ones? That is the question every AI entrepreneur wants to answer. This talk discusses 5 simple yet unsolved AI problems that could make it through the filters. | ||
seminarprogramm.txt · Last modified: 2023/02/15 15:35 by payan
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