Kanta Dihal

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Kanta Dihal
What Sci-Fi Futures Can (and Can't) Teach Us About AI Policy (47811475732) (cropped).jpg
Dihal speaking at a conference in 2019
Born
NationalityDutch
Alma mater Leiden University (B.A., B.A., M.A.)
University of Oxford (Ph.D.)
Known for Artificial intelligence in fiction
Science communication
Artificial intelligence and AI ethics
Scientific career
Fields Science communication
InstitutionsScience Communication Unit, Imperial College London
Thesis The stories of quantum physics  (2018)
Doctoral advisor Sally Shuttleworth
Michael Whitworth
Website https://kantadihal.com/

Kanta Dihal is a Dutch research scientist who works at the intersection of artificial intelligence, science communication, literature, and ethics. She is currently a lecturer in science communication at Imperial College London. Dihal is co-editor of the books AI Narratives: A History of Imaginative Thinking About Intelligent Machines and Imagining AI: How the World Sees Intelligent Machines.

Contents

Education

Dihal received a Bachelor of Arts in English and Language Culture in 2011, a Bachelor of Arts in Film and Literary Studies in 2012, and a Masters of Arts in Literary Studies in 2014 from Leiden University. [1] She completed her Ph.D. in Science Communication from the University of Oxford in 2018. [2] Her thesis, advised by Sally Shuttleworth and Michael Whitworth, explored the communication of conflicting interpretations of quantum physics to adults and children. [3]

Career and research

Dihal's research intersects the fields of AI ethics, science communication, literature and science, and science fiction.

She is currently a lecturer in science communication at Imperial College London. [4] Prior to this, she worked as a senior research fellow at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge. She led two research projects there: Global AI Narratives [5] and Decolonizing AI.[ citation needed ] The Global AI Narratives project explores the public understanding of AI as constructed by fictional and nonfictional narratives, spanning ancient classics like the Iliad all the way to modern films like Steven Spielberg's AI . [6] [5] With her colleagues, she is attempting to document the ways in which AI is understood and developed around the world and their consequences on diversity and equality. [7] In her work for the Decolonizing AI project, Dihal examines how AI is portrayed in media, stock images, and dialect often with more "white" depictions and warns of the risk of creating a "homogeneous" workforce of technologists where people of colour are erased. [8]

AI Narratives: A History of Imaginative Thinking About Intelligent Machines

Dihal is co-editor of the book AI Narratives: A History of Imaginative Thinking About Intelligent Machines, alongside Stephen Cave and Sarah Dillon. [9] The book is a collection of essays examining how narrative representations of AI have shaped technological development, understanding of humans, and the social and political orders that emerge from their relationships. The Times Literary Supplement remarked that this book is a “compelling collection shows how AI narratives have prompted critical reflection on human-machine relations”. [10]

Selected awards

Related Research Articles

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Friendly artificial intelligence is hypothetical artificial general intelligence (AGI) that would have a positive (benign) effect on humanity or at least align with human interests or contribute to fostering the improvement of the human species. It is a part of the ethics of artificial intelligence and is closely related to machine ethics. While machine ethics is concerned with how an artificially intelligent agent should behave, friendly artificial intelligence research is focused on how to practically bring about this behavior and ensuring it is adequately constrained.

<span class="mw-page-title-main">School of Informatics, University of Edinburgh</span>

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<span class="mw-page-title-main">Robert Kowalski</span> British computer scientist (born 1941)

Robert Anthony Kowalski is an American-British logician and computer scientist, whose research is concerned with developing both human-oriented models of computing and computational models of human thinking. He has spent most of his career in the United Kingdom.

<span class="mw-page-title-main">History of artificial intelligence</span>

It started with the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain.

<span class="mw-page-title-main">Philosophy of artificial intelligence</span> Overview of the philosophy of artificial intelligence

The philosophy of artificial intelligence is a branch of the philosophy of mind and the philosophy of computer science that explores artificial intelligence and its implications for knowledge and understanding of intelligence, ethics, consciousness, epistemology, and free will. Furthermore, the technology is concerned with the creation of artificial animals or artificial people so the discipline is of considerable interest to philosophers. These factors contributed to the emergence of the philosophy of artificial intelligence.

Artificial intelligence is a recurrent theme in science fiction, whether utopian, emphasising the potential benefits, or dystopian, emphasising the dangers.

<span class="mw-page-title-main">Ethics of artificial intelligence</span> Ethical issues specific to AI

The ethics of artificial intelligence is the branch of the ethics of technology specific to artificially intelligent systems. It is sometimes divided into a concern with the moral behavior of humans as they design, make, use and treat artificially intelligent systems, and a concern with the behavior of machines, in machine ethics.

David J. Gunkel is an American academic and Presidential Teaching Professor of Communication Studies at Northern Illinois University. He teaches courses in web design and programming, information and communication technology (ICT), and cyberculture. His research and publications examine the philosophical assumptions and ethical consequences of ICT.

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<span class="mw-page-title-main">Gina Neff</span> American sociologist

Gina Neff is the Executive Director of the Minderoo Centre for Technology and Democracy at the University of Cambridge. Neff was previously Professor of Technology & Society at the Oxford Internet Institute and the Department of Sociology at the University of Oxford. Neff is an organizational sociologist whose research explores the social and organizational impact of new communication technologies, with a focus on innovation, the digital transformation of industries, and how new technologies impact work.

<span class="mw-page-title-main">Mark Coeckelbergh</span> Belgian philosopher of technology

Mark Coeckelbergh is a Belgian philosopher of technology. He is Professor of Philosophy of Media and Technology at the Department of Philosophy of the University of Vienna and former President of the Society for Philosophy and Technology. He was previously Professor of Technology and Social Responsibility at De Montfort University in Leicester, UK, Managing Director of the 3TU Centre for Ethics and Technology, and a member of the Philosophy Department of the University of Twente. Before moving to Austria, he has lived and worked in Belgium, the UK, and the Netherlands. He is the author of several books, including Growing Moral Relations (2012), Human Being @ Risk (2013), Environmental Skill (2015), Money Machines (2015), New Romantic Cyborgs (2017), Moved by Machines (2019), the textbook Introduction to Philosophy of Technology (2019), and AI Ethics (2020). He has written many articles and is an expert in ethics of artificial intelligence. He is best known for his work in philosophy of technology and ethics of robotics and artificial intelligence (AI), he has also published in the areas of moral philosophy and environmental philosophy.

The Leverhulme Centre for the Future of Intelligence (CFI) is an interdisciplinary research centre within the University of Cambridge that studies artificial intelligence. It is funded by the Leverhulme Trust.

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Murray Patrick Shanahan is a professor of Cognitive Robotics at Imperial College London, in the Department of Computing, and a senior scientist at DeepMind. He researches artificial intelligence, robotics, and cognitive science.

<span class="mw-page-title-main">Joanna Bryson</span> Researcher and Professor of Ethics and Technology

Joanna Joy Bryson is professor at Hertie School in Berlin. She works on Artificial Intelligence, ethics and collaborative cognition. She has been a British citizen since 2007.

<span class="mw-page-title-main">Aimee Van Wynsberghe</span> AI ethics researcher

Aimee van Wynsberghe is Alexander von Humboldt professor for "Applied Ethics of Artificial Intelligence" at the University of Bonn, Germany. As founder of the Bonn Sustainable AI Lab and director of the Institute for Science and Ethics, Aimee van Wynsberghe hosts every two years the Bonn Sustainable AI Conference.

The regulation of artificial intelligence is the development of public sector policies and laws for promoting and regulating artificial intelligence (AI); it is therefore related to the broader regulation of algorithms. The regulatory and policy landscape for AI is an emerging issue in jurisdictions globally, including in the European Union and in supra-national bodies like the IEEE, OECD and others. Since 2016, a wave of AI ethics guidelines have been published in order to maintain social control over the technology. Regulation is considered necessary to both encourage AI and manage associated risks. In addition to regulation, AI-deploying organizations need to play a central role in creating and deploying trustworthy AI in line with the principles of trustworthy AI, and take accountability to mitigate the risks. Regulation of AI through mechanisms such as review boards can also be seen as social means to approach the AI control problem.

<span class="mw-page-title-main">Hanna Wallach</span> Computational social scientist

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Beth Victoria Lois Singler, born Beth Victoria White, is a British anthropologist specialising in artificial intelligence. She is known for her digital ethnographic research on the impact of apocalyptic stories on the conception of AI and robots, her comments on the societal implications of AI, as well as her public engagement work. The latter includes a series of four documentaries on whether robots could feel pain, human-robot companionship, AI ethics, and AI consciousness. She is currently the Junior Research Fellow in Artificial Intelligence at Homerton College, University of Cambridge.

Abeba Birhane is an Ethiopian-born cognitive scientist who works at the intersection of complex adaptive systems, machine learning, algorithmic bias, and critical race studies. Birhane's work with Vinay Prabhu uncovered that large-scale image datasets commonly used to develop AI systems, including ImageNet and 80 Million Tiny Images, carried racist and misogynistic labels and offensive images. She has been recognized by VentureBeat as a top innovator in computer vision and named as one of the 100 most influential persons in AI 2023 by TIME magazine.

References

  1. "Kanta Dihal". Festival Number 6. Retrieved 2021-04-30.
  2. "Kanta Dihal". lcfi.ac.uk. Retrieved 2021-05-05.
  3. Dihal, Kanta (2017). The stories of quantum physics (DPhil thesis). University of Oxford.
  4. "People/Contact | Science Communication Unit". www.imperial.ac.uk/.
  5. 1 2 "Research Comms Podcast: Interview with AI expert, Dr Kanta Dihal". Orinoco Communications. Retrieved 2021-05-05.
  6. "Faculty of English". www.english.cam.ac.uk. Retrieved 2021-04-30.
  7. "The perils of AI bias". Financial Times. 10 April 2019. Retrieved 2021-05-05.
  8. "Whiteness of AI erases people of color from our 'imagined futures', researchers argue". phys.org. Retrieved 2021-04-30.
  9. Cave, Stephen; Dihal, Kanta; Dillon, Sarah, eds. (14 February 2020). AI narratives: a history of imaginative thinking about intelligent machines (First ed.). Oxford. ISBN   978-0-19-258604-9. OCLC   1143647559. Archived from the original on 18 March 2021. Retrieved 11 November 2020.{{cite book}}: CS1 maint: location missing publisher (link)
  10. "AI Narratives, edited by Stephen Cave, Kanta Dihal and Sarah Dillon review". TLS. Retrieved 2021-04-30.
  11. "Most Influential Women in UK Tech: The 2020 longlist". ComputerWeekly.com. Retrieved 2021-04-30.
  12. "Hall of Fame". 100 Brilliant Women in AI Ethics™. Retrieved 2021-02-27.