V.C. Müller
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Terse CV

Vincent C. Müller is Professor for Philosophy of Technology at the Technical University of Eindhoven (TU/e) - as well as Senior Research Fellow at the University of Leeds , Turing Fellow at the Alan Turing Institute, London, President of the European Society for Cognitive Systems and Chair of the euRobotics topics group on 'ethical, legal and socio-economic issues'. He was Professor at Anatolia College/ACT (Thessaloniki) (1998-2019), Stanley J. Seeger Fellow at Princeton University (2005-6) and James Martin Research Fellow at the University of Oxford (2011-15). He studied philosophy with cognitive science, linguistics and history at the universities of Marburg, Hamburg, London and Oxford.

Müller is known for his research on theory and ethics of disruptive technologies, particularly artificial intelligence (AI). He has published widely on the philosophy of AI and cognitive science, philosophy of computing, philosophy of language, applied ethics, etc. (citations >250/year). Müller edits the "Oxford handbook of the philosophy of artificial intelligence" (OUP), wrote the Stanford Encyclopedia of Philosophy article on Ethics of AI and Robotics and has a book forthcoming with OUP on "Can Machines Think?". He presents invited papers around the world > once a month and he has organised ca. 25 conferences or workshops, among them a prominent conference series on the Philosophy and Theory of AI (PT-AI). Currently, Müller is principal investigator (PI) on the H2020 EU project "Inclusive Robotics for a Better Society" (INBOTS), Co-I and on the Scientific Committee of the H2020 AI platform project AI4EU (20M€), Co-I and on the Management Board on the NWO project "Ethics of Disruptive Technologies" (26.8M€). Müller is one of the 32 experts on the Global Partnership on AI (GPAI) and he is a member of the OECD Network of Experts on AI. He has generated ca. 4.5 mil.€ research income for his institutions.

Main projects

  • popAI "A European Positive Sum Approach towards AI tools in support of law enforcement and safeguarding privacy and fundamental rights"", H2020-SU-AI-2020 CSA, (2021-23), 1.6M€ (88K€ at TU/e)  -   PI
  • IA-AI EC (2020-2023), 2.5M€ - PI
  • ESDT, NWO (2020-2029), 26.8M€ (ca. 5M€ at TU/e) - Co-I
  • AI4EU, H2020 ICT-26-2018 (2019-2021), 20M€ (141K€ at ULeeds) - Co-I
  • INBOTS, H2020 ICT-28-2017-1 (2018-2020), 3M€ (112K€ at ULeeds) - PI
  • DiDIY, H2020 ICT-31-644344 (2014-2017), 2M€ (230K€ at AC) - PI
  • EUCogIII, FP7 INFSO-ICT-269981 (2012-2014), 2M€ (1.64M€ at AC) - PI & Coordinator
  • EUCogII, FP 7 INFSO-ICT-231281 (2009-2011), 1.8M€ (1.7M€ at AC) - PI & Coordinator

Publications/Citations/Downloads

Post-Docs

PhD Students

  • Céline Budding (2022-), TU/e, "Improving automated rational choice through metacognition" (TU/e EAISI PhD Position) - main supervisor Patrik Hummel
  • Céline Budding (2021-), TU/e, "Cognitive Models for Explainable AI" (TU/e EAISI PhD Position) - main supervisor Carlos Zednik
  • Charlotte Stix (2019-), TU/e, "Ethical Theory for AI Policy" (Luxembourg PhD Fellowship)
  • Gabriela Arriagada-Bruneau (2018-), U Leeds, "Bias and Fairness in Data Science" (Chile State PhD Scholarship)
  • Michael Cannon (2018-), TU/e, "Superethical AI" (TU/e PhD position)

Areas of Current Research Activity [see also Activities and Events]

I am trying to work on a number of things and if you are working on similar matters, I should be glad to hear from you. (This also applies to potential PhD students.)

Ethics of Information & Computing

  • Ethics & policy of artificial intelligence (see the SEP article)
  • Robot ethics (I edit the PhilPapers section on"Robot Ethics)
  • Surveillance and privacy
  • Risks of digital manufacturing and synthetic biology
  • Ethics of knowing, e.g. "Should there be forbidden knowledge?"

Philosophy of Mind, Language & Computing:

  • Introductory book "Can machines think?", forthcoming with OUP
  • Editing the "Oxford Handbook of the Philosophy of Artificial Intelligence", forthcoming with OUP
  • Conceptual and ethical challenges of progress towards human-level AI, esp. computationalism
  • Benchmarking and testing of artificial intelligence (or cognitive ability in technical systems)
  • Theory of computing, especially within the philosophy of mind: computationalism, hypercomputing, morphological computing, digital states, pancomputationalism
  • Vagueness (in relation to categorisation and to computing)
  • Putnam's concept of "conceptual relativity" and anti-realism in general