2017

  1. Enslaving the Algorithm: From a ‘Right to an Explanation’ to a ‘Right to Better Decisions’.” Talk at the Brussels Privacy Symposium, Vrije Universiteit Brussel (VUB), BE [with Lilian Edwards] forthcoming!, November 6, 2017. [SSRN ]
  2. Machine Learning Algorithms Making Decisions: Governance Challenges in the Public Sector and Beyond .” Talk at Hong Kong University of Science and Technology (HKUST), Hong Kong, September 27, 2017. [Slides]
  3. Panelist: AI and Trust, A Global Roundtable.” Panel at the 39th International Conference of Data Protection and Privacy Commissioners (ICDPPC), Hong Kong, September 26, 2017.
  4. Getting Pensive about the Pensieve: Governing Memory Data from Brain-Computer Interfaces.” Talk at Gikii 2017, Winchester, September 15, 2017. [Slides]
  5. Like Trainer, Like Bot? Inheritance of Bias in Algorithmic Content Moderation.” Poster presented at the 9th Conference on Social Informatics (SocInfo 2017), Wolfson College, University of Oxford [with Reuben Binns], September 14, 2017. https://doi.org/10.1007/978-3-319-67256-4_32. [arXiv ] [doi] [Poster]
  6. Slave to the Algorithm? Why a ‘Right to an Explanation’ Is Probably Not the Remedy You Are Looking For.” Talk at the One Belt One Road (OBOR) Conference, Faculty of Law, University of Oxford, September 14, 2017. https://doi.org/10.2139/ssrn.2972855. [SSRN ] [doi] [Slides]
  7. Logics and Practices of Transparency and Opacity in Real-World Application Fo Public Sector Machine Learning.” Talk presented at the 4th Workshop on Fairness, Accountability and Transparency in Machine Learning (FAT/ML 2017), Halifax, Nova Scotia, Canada, August 14, 2017. [arXiv ] [Slides]
  8. How Do Public Sector Values Get into Public Sector Machine Learning Systems, If at All.” Talk at Netherlands Organisation for Applied Scientific Research (TNO), Den Haag, NL, July 11, 2017.
  9. Machine Learning: Basic Principles and Problems in Practice.” Talk at the British Broadcasting Corporation (BBC), London, July 10, 2017. [Slides]
  10. Fairer Machine Learning in the Real World: Mitigating Discrimination without Collecting Sensitive Data.” Talk at Alan Turing Institute [with Reuben Binns], July 7, 2017. [Slides]
  11. Panel: AI for Science and the Environment.” Panel member at CogX, London, June 21, 2017.
  12. Panel: AI Ethics, Risks and Opportunities.” Panel member at the Cambridge Technology Ventures Conference, University of Cambridge, June 17, 2017.
  13. Slave to the Algorithm? Why a ‘Right to an Explanation’ Is Probably Not the Remedy You Are Looking For.” Paper panel at the Privacy Law Scholars Conference (PLSC), UC Berkeley, CA, June 2, 2017. https://doi.org/10.2139/ssrn.2972855. [SSRN ] [doi]
  14. Slave to the Algorithm? Why a ‘Right to an Explanation’ Is Probably Not the Remedy You Are Looking For.” Talk at Big Data: New Challenges for Law and Ethics, University of Ljubljana, Slovenia, May 23, 2017. https://doi.org/10.2139/ssrn.2972855. [SSRN ] [doi] [Slides]
  15. How Do Public Sector Values Get into Public Sector Machine Learning Systems, If at All?.” Talk at Big Data: New Challenges for Law and Ethics, University of Ljubljana, Slovenia, May 22, 2017. [Slides]
  16. Machine Learning for Forecast-Based Financing.” Facilitated session at the Forecast-based Financing Hydropower Workshop, Red Cross Red Crescent Climate Centre, Addis Ababa, Ethiopia, May 9, 2017.
  17. How Do Public Sector Values Get into Public Sector Machine Learning Systems, If at All?.” Talk at the 4th Winchester Conference on Trust, Risk, Information and the Law, University of Winchester, May 3, 2017. [Slides]
  18. Machine Learning in Finance: Practically Navigating Diverse Business Risks.” Talk at techUK, London, May 3, 2017. [Slides]
  19. How Do Data Scientists Build Unbiased Algorithms When Society Is Full of Biases?.” Talk at DataKind, London, April 26, 2017.
  20. Algorithmic Decision-Making Inquiry — Setting the Scene.” Talk at the Royal Statistical Society, London, April 4, 2017.
  21. How Do Public Sector Values Get into Public Sector Machine Learning Systems, If at All?.” Talk at The Politics of Algorithmic Modelling, Université Libre de Bruxelles (ULB), Brussels, March 31, 2017. [Slides]
  22. How Do You Feel about the Government Sharing Our Personal Data?.” Online public debate hosted by The Guardian [invited contributor], March 31, 2017. [HTML]
  23. Fairer Machine Learning in the Real World: Mitigating Discrimination without Collecting Sensitive Data.” Talk at the Responsible Research and Innovation in ICT Workshop, St Cross College, University of Oxford [with Reuben Binns], March 28, 2017.
  24. What Might Responsible Public Sector Machine Learning Look like?.” Talk at University College London, March 21, 2017.
  25. The Present and Future of Responsible Machine Learning in the Public Sector..” Talk at AI for Social Good, Waseda University, Tokyo, March 6, 2017. [Slides]
  26. What Algorithms Are, Why They Might Need Governing, and How We Might Do It..” Talk at Strathclyde Law School, University of Strathyclyde, February 15, 2017.

2016

  1. How Do Public Sector Values Get into Public Sector Machine Learning Systems, If at All?.” Talk at The Human Use of Machine Learning, Ca’Foscari University, Venice, December 16, 2016.
  2. Responsible and Reliable Machine Learning in Practice.” Talk at KIN Winter Workshop, Warwick Management Group (WMG), University of Warwick, December 7, 2016. [Video]
  3. How Do Public Sector Values Get into Public Sector Machine Learning Systems, If at All?.” Talk at the Human Centred Computing Group, Department of Computer Science, University of Oxford, November 30, 2016.
  4. How Do Public Sector Values Get into Public Sector Machine Learning Systems, If at All?.” Talk at The Ethics of Machine Learning in Professional Practice, University of Cambridge, November 28, 2016.
  5. Procuring Machine Learning in the Public Sector: Anticipating the Unexpected Using Participatory Foresight..” Poster presented at Data for Policy, University of Cambridge, September 16, 2016.
  6. Paths and Strategies for Responsible Machine Learning in Local Government.” Keynote talk at EIT Digital Pit Stop, Digital Catapult, London, September 15, 2016.
  7. Machine Learning for Public Sector Decision-Making: Evaluating Risks and Impacts.” Talk at the Technology, Management and Policy Graduate Consortium, University of Cambridge, June 28, 2016.
  8. Human and AI: Where to Draw the Lines?.” Talk at Superhuman: Human and AI in Synergy, Microsoft Research, Cambridge, May 26, 2016.
  9. The Governance Challenges of Advanced Learning Algorithms.” Talk at Knowing Algorithms, Lancaster University, March 30, 2016.