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Jonnie Penn

Doctoral Researcher

College: Pembroke
Supervisor: Prof. Richard Staley, Prof. Helen Anne Curry (advisor)
Thesis topic: History and philosophy of artificial intelligence
Research interests: History and philosophy of twentieth century science and technology, computing, artificial intelligence, bureaucracy, business history, mathematics, gender and race.

Education/Positions:

  • Harvard University, Affiliate, Berkman Klein Center for Internet & Society (2018-19)
  • University of Cambridge, Leverhulme Center for the Future of Intelligence, Doctoral Fellow (2018-)
  • IEEE and MIT Media Lab, Council on Extended Intelligence, Member (2018-)
  • Royal Society for the Arts, Fellow (2018-)
  • University of Cambridge, Doctoral Researcher (expected 2019-20) 
  • MIT Media Lab, Assembly Fellow (2018)
  • Google, Technology Policy Fellow (2017-18)
  • MIT, Visiting Student (2018)
  • University of Cambridge, MPhil, first-class honours (2015)
  • McGill University, BA (2013)   

Organizer:

Project Development Lead, "AI: History" at the Leverhulme Center for the Future of Intelligence. 

Co-Chair, "AI For Social Good Workshop" at NIPS 2018, 7-8 December 2018, Montreal.

Presented Papers:

Review of "Programmed Inequality: How Britain Discarded Women Technologists and Lost Its Edge in Computing" by Mar Hicks, MIT Press History of Computing Series, H-Net, Forthcoming.

"On Artificial Intelligence and Management Science" at 2018 History of Science Society Annual Meeting, November 2018, Seattle, USA.

"The Logic Behind the Logic Theory Machine" at 2018 Society for the History of Technology, October 2018, St. Louis, USA.

"Organizational Sociology and Public Transparency: The Creation of a New Occupation Involving Autonomous Vehicles" at Harvard University's Berkman Klein Center for Internet & Society, Fellow's Hour, April 2018, Boston.

“On the Logic of Labor: EDSAC and the History of Open-Source Software (OSS)” at the British Society for History of Science (BSHS) 70th Annual Conference, July 2017, University of York.

"Inventing Intelligence: The Dawn of Artificial Intelligence and Electronic Personhood" at the 11th Annual Science in Public Conference, July 2017, University of Sheffield. Panel on: "Robots, AI and the Question of 'Electronic Persons'"

"EDSAC and the History of the Open-Source Software Movement" at the 11th Annual Science in Public Conference, July 2017, University of Sheffield.

"How To Talk About the Ethics of AI? A Historical Perspective" at the 14th Annual Technology Ventures Conference, June 2017, University of Cambridge.

Selected Talks

"Realising the Transformative Potential of AI: Role of Governance" at World Summit on AI, October 2018, Amsterdam. Panel with Prof. Joanna Bryson (University of Bath), Kay Firth-Butterfield (Project Head of AI, World Economic Forum) and Rumman Chowdhury (Responsible AI Lead, Accenture). Mod: Chelsey Colbert.

"Insights from the History of AI" at BBC's AI Society & the Media: How can we Flourish in the Age of AI?, September 2018, London.

"On Youth in the Fourth Industrial Revolution" at United Nations 2018 AI for Good Global Summit, May 2018, Geneva.

"AI Narratives: How do we talk about AI?" at the Royal Society, May 2018, London.

Contributor:

MIT Media Lab & Harvard's Berkman Klein Centre 2018 BKMLA Assembly Research Team on AI and Governance.

Connected and Autonomous Vehicles in Society: An Agenda for Social and Policy Research (MSU Sociomobility White Paper, Contributor), Forthcoming.

”Cooperative, Connected and Automated Mobility: Obstacles to Uptake in Europe and Possible Way Forward" at European Commission, 28 June 2018, Brussels. 

"The Pineapple Report: Youth in Europe Face the Fourth Industrial Revolution" Google and the European Youth ForumForthcoming. 

Supervising:

Paper 4: Science, Politics, Publics, for Mary Augusta Brazelton and Joseph D. Martin (2017)

Paper 6: Society and Technology, for Helen Anne Curry (2016-17)

Selected Press:

AI Skills Report Launch - Learning to Learn: The Future Proof Skill, October 2018.

Raising Children in the Era of Artificial Intelligence – Part One and Two, January 2018.

Written Evidence to the House of Lords Select Committee on Artificial Intelligence, October, 2017.

Building a brain trust for good AI?, August 2017, IBM Think Leaders.