Vincent C. Müller’s research focuses on the nature and future of computational systems, particularly on the prospects and dangers of artificial intelligence. He is the president of the European Association for Cognitive Systems and was the coordinator of the European Network for Cognitive Systems, Robotics and Interaction, which has nearly 1000 members and is funded by the European Commission through two FP7 projects worth €3.9 million over 2009–2014 (www.eucognition.org). He organizes a conference series, Theory and Philosophy of AI (www.pt-ai.org), and is the principal investigator of a European Commission–funded research project Digital DIY. He is currently working as professor of philosophy, Division of Humanities & Social Sciences, Anatolia College/ACT, Pylaia-Thessaloniki, Greece.

• Editorial: Risks of Artificial Intelligence. Autonomous Technology and the Greater Human Good. Errors, Insights, and Lessons of Famous Artificial Intelligence Predictions. Path to More General Artificial Intelligence. Limitations and Risks of Machine Ethics. Utility Function Security in Artificially Intelligent Agents. Goal-Oriented Learning Meta-Architecture. Universal Empathy and Ethical Bias for Artificial General Intelligence. Bounding the Impact of Artificial General Intelligence. Ethics of Brain Emulations. Long-Term Strategies for Ending Existential Risk from Fast Takeoff. Singularity, or How I Learned to Stop Worrying and Love Artificial Intelligence.

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Vincent C. Müller’s research focuses on the nature and future of computational systems, particularly on the prospects and dangers of artificial intelligence. He is the president of the European Association for Cognitive Systems and was the coordinator of the European Network for Cognitive Systems, Robotics and Interaction, which has nearly 1000 members and is funded by the European Commission through two FP7 projects worth €3.9 million over 2009–2014 (www.eucognition.org). He organizes a conference series, Theory and Philosophy of AI (www.pt-ai.org), and is the principal investigator of a European Commission–funded research project Digital DIY. He is currently working as professor of philosophy, Division of Humanities & Social Sciences, Anatolia College/ACT, Pylaia-Thessaloniki, Greece.

• Editorial: Risks of Artificial Intelligence. Autonomous Technology and the Greater Human Good. Errors, Insights, and Lessons of Famous Artificial Intelligence Predictions. Path to More General Artificial Intelligence. Limitations and Risks of Machine Ethics. Utility Function Security in Artificially Intelligent Agents. Goal-Oriented Learning Meta-Architecture. Universal Empathy and Ethical Bias for Artificial General Intelligence. Bounding the Impact of Artificial General Intelligence. Ethics of Brain Emulations. Long-Term Strategies for Ending Existential Risk from Fast Takeoff. Singularity, or How I Learned to Stop Worrying and Love Artificial Intelligence.

Select Guide Rating

Vincent C. Müller’s research focuses on the nature and future of computational systems, particularly on the prospects and dangers of artificial intelligence. He is the president of the European Association for Cognitive Systems and was the coordinator of the European Network for Cognitive Systems, Robotics and Interaction, which has nearly 1000 members and is funded by the European Commission through two FP7 projects worth €3.9 million over 2009–2014 (www.eucognition.org). He organizes a conference series, Theory and Philosophy of AI (www.pt-ai.org), and is the principal investigator of a European Commission–funded research project Digital DIY. He is currently working as professor of philosophy, Division of Humanities & Social Sciences, Anatolia College/ACT, Pylaia-Thessaloniki, Greece.

• Editorial: Risks of Artificial Intelligence. Autonomous Technology and the Greater Human Good. Errors, Insights, and Lessons of Famous Artificial Intelligence Predictions. Path to More General Artificial Intelligence. Limitations and Risks of Machine Ethics. Utility Function Security in Artificially Intelligent Agents. Goal-Oriented Learning Meta-Architecture. Universal Empathy and Ethical Bias for Artificial General Intelligence. Bounding the Impact of Artificial General Intelligence. Ethics of Brain Emulations. Long-Term Strategies for Ending Existential Risk from Fast Takeoff. Singularity, or How I Learned to Stop Worrying and Love Artificial Intelligence.

Select Guide Rating