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Documents authored by Fisher, Michael

Document
DOI: 10.4230/DagRep.13.9.103
Roadmap for Responsible Robotics (Dagstuhl Seminar 23371)

Authors: Michael Fisher, Marija Slavkovik, Anna Dobrosovestnova, and Nick Schuster

Published in: Dagstuhl Reports, Volume 13, Issue 9 (2024)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 23371 "Roadmap for Responsible Robotics". The seminar was concerned with robots across all their forms, particularly autonomous robots capable of making their own decisions and taking their own actions without direct human oversight. The seminar brought together experts in computer science, robotics, engineering, philosophy, cognitive science, human-robot interactions, as well as representatives of the industry, with the aim of contributing to the steps towards ethical and responsible robotic systems as initiated by actors such as the European Robotics Research Network (EURON), the European Union’s REELER, and others. We discussed topics including: "Why do autonomous robots warrant distinct normative considerations?", "Which stakeholders are, or should be, involved in the development and deployment of robotic systems, and how do we configure their responsibilities?", "What are the principal tenets of responsible robotics beyond commonly associated themes, namely trust, fairness, predictability and understandability?". Through intensive discussions of these and other related questions, motivated by the various values at stake as robotic systems become increasingly present and impactful in human life, this interdisciplinary group identified a set of interrelated priorities to guide future research and regulatory efforts. The resulting roadmap aimed to ensure that robotic systems co-evolve with human societies so as to advance, rather than undermine, human agency and humane values.
Cite as

Michael Fisher, Marija Slavkovik, Anna Dobrosovestnova, and Nick Schuster. Roadmap for Responsible Robotics (Dagstuhl Seminar 23371). In Dagstuhl Reports, Volume 13, Issue 9, pp. 103-115, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Article{fisher_et_al:DagRep.13.9.103,
  author =	{Fisher, Michael and Slavkovik, Marija and Dobrosovestnova, Anna and Schuster, Nick},
  title =	{{Roadmap for Responsible Robotics (Dagstuhl Seminar 23371)}},
  pages =	{103--115},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{13},
  number =	{9},
  editor =	{Fisher, Michael and Slavkovik, Marija and Dobrosovestnova, Anna and Schuster, Nick},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.9.103},
  URN =		{urn:nbn:de:0030-drops-198223},
  doi =		{10.4230/DagRep.13.9.103},
  annote =	{Keywords: Robotics, Responsibility, Trust, Fairness, Predictability, Understandability, Ethics}
}
Document
DOI: 10.4230/DagRep.9.4.59
Ethics and Trust: Principles, Verification and Validation (Dagstuhl Seminar 19171)

Authors: Michael Fisher, Christian List, Marija Slavkovik, and Astrid Weiss

Published in: Dagstuhl Reports, Volume 9, Issue 4 (2019)

Abstract
This report documents the programme of, and outcomes from, the Dagstuhl Seminar 19171 on "Ethics and Trust: Principles, Verification and Validation". We consider the issues of ethics and trust as crucial to the future acceptance and use of autonomous systems. The development of new classes of autonomous systems, such as medical robots, "driver-less" cars, and assistive care robots has opened up questions on how we can integrate truly autonomous systems into our society. Once a system is truly autonomous, i.e. learning from interactions, moving and manipulating the world we are living in, and making decisions by itself, we must be certain that it will act in a safe and ethical way, i.e. that it will be able to distinguish 'right' from `wrong' and make the decisions we would expect of it. In order for society to accept these new machines, we must also trust them, i.e. we must believe that they are reliable and that they are trying to assist us, especially when engaged in close human-robot interaction. The seminar focused on questions of how does trust with autonomous machines evolve, how to build a `practical' ethical and trustworthy system, and what are the societal implications. Key issues included: Change of trust and trust repair, AI systems as decision makers, complex system of norms and algorithmic bias, and potential discrepancies between expectations and capabilities of autonomous machines. This workshop was a follow-up to the 2016 Dagstuhl Seminar 16222 on Engineering Moral Agents: From Human Morality to Artificial Morality. When organizing this workshop we aimed to bring together communities of researchers from moral philosophy and from artificial intelligence and extend it with researchers from (social) robotics and human-robot interaction research.
Cite as

Michael Fisher, Christian List, Marija Slavkovik, and Astrid Weiss. Ethics and Trust: Principles, Verification and Validation (Dagstuhl Seminar 19171). In Dagstuhl Reports, Volume 9, Issue 4, pp. 59-86, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@Article{fisher_et_al:DagRep.9.4.59,
  author =	{Fisher, Michael and List, Christian and Slavkovik, Marija and Weiss, Astrid},
  title =	{{Ethics and Trust: Principles, Verification and Validation (Dagstuhl Seminar 19171)}},
  pages =	{59--86},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2019},
  volume =	{9},
  number =	{4},
  editor =	{Fisher, Michael and List, Christian and Slavkovik, Marija and Weiss, Astrid},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.9.4.59},
  URN =		{urn:nbn:de:0030-drops-113046},
  doi =		{10.4230/DagRep.9.4.59},
  annote =	{Keywords: Verification, Artificial Morality, Social Robotics, Machine Ethics, Autonomous Systems, Explain-able AI, Safety, Trust, Mathematical Philosophy, Robot Ethics, Human-Robot Interaction}
}
Document
DOI: 10.4230/DagRep.6.5.114
Engineering Moral Agents -- from Human Morality to Artificial Morality (Dagstuhl Seminar 16222)

Authors: Michael Fisher, Christian List, Marija Slavkovik, and Alan Winfield

Published in: Dagstuhl Reports, Volume 6, Issue 5 (2016)

Abstract
This report documents the programme of, and outcomes from, the Dagstuhl Seminar 16222 on "Engineering Moral Agents -- from Human Morality to Artificial Morality". Artificial morality is an emerging area of research within artificial intelligence (AI), concerned with the problem of designing artificial agents that behave as moral agents, i.e. adhere to moral, legal, and social norms. Context-aware, autonomous, and intelligent systems are becoming a presence in our society and are increasingly involved in making decisions that affect our lives. While humanity has developed formal legal and informal moral and social norms to govern its own social interactions, there are no similar regulatory structures that apply to non-human agents. The seminar focused on questions of how to formalise, "quantify", qualify, validate, verify, and modify the ``ethics" of moral machines. Key issues included the following: How to build regulatory structures that address (un)ethical machine behaviour? What are the wider societal, legal, and economic implications of introducing AI machines into our society? How to develop "computational" ethics and what are the difficult challenges that need to be addressed? When organising this workshop, we aimed to bring together communities of researchers from moral philosophy and from artificial intelligence most concerned with this topic. This is a long-term endeavour, but the seminar was successful in laying the foundations and connections for accomplishing it.
Cite as

Michael Fisher, Christian List, Marija Slavkovik, and Alan Winfield. Engineering Moral Agents -- from Human Morality to Artificial Morality (Dagstuhl Seminar 16222). In Dagstuhl Reports, Volume 6, Issue 5, pp. 114-137, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@Article{fisher_et_al:DagRep.6.5.114,
  author =	{Fisher, Michael and List, Christian and Slavkovik, Marija and Winfield, Alan},
  title =	{{Engineering Moral Agents -- from Human Morality to Artificial Morality (Dagstuhl Seminar 16222)}},
  pages =	{114--137},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2016},
  volume =	{6},
  number =	{5},
  editor =	{Fisher, Michael and List, Christian and Slavkovik, Marija and Winfield, Alan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.6.5.114},
  URN =		{urn:nbn:de:0030-drops-67236},
  doi =		{10.4230/DagRep.6.5.114},
  annote =	{Keywords: Artificial Morality, Machine Ethics, Computational Morality, Autonomous Systems, Intelligent Systems, Formal Ethics, Mathematical Philosophy, Robot Ethics}
}
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