Policy Fellowship for Katherine Oyama

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Katherine Oyama is Senior Policy Counsel for Google in Washington, DC, where she manages U.S. federal policy for copyright, trademark, music licensing, online creativity, and intermediary liability. From 2009 to 2011, she worked at the White House as Associate Counsel and Deputy Counsel to Vice President Joseph R. Biden. Prior to her government service, Katherine was a litigation associate at Wilmer Cutler Pickering Hale & Dorr’s Washington office. She previously worked for a New York-based strategy consulting firm; Marc Andreessen's Silicon Valley-based startup, LoudCloud; and a Washington-based public interest research organization.

Katherine is a graduate of Smith College, where she graduated with High Honors in Government, and the University of California, Berkeley School of Law (Boalt Hall), where she served as senior articles editor of the Berkeley Technology Law Journal (BTLJ).

She has testified before Congress on issues relating to copyright, trademark, and the creative economy multiple times. In addition to her work in the U.S., Katie has represented Google on global trade and digital economy issues at the United Nations (UN), Internet Governance Forum (IGF), World Intellectual Property Organization (WIPO), World Trade Organization (WTO), European Union (EU), U.S. Mission to the EU, World Economic Forum (WEF) and met with policymakers on 6 continents. She is a board member of the Digital Media Association (DiMA) (the leading digital music services organization in the U.S.) and serves on the advisory boards of the Duke Law Center for Innovation Policy, the American Library Association Public Policy Advisory Council (PPAC), and the Atlas Corp Tech Advisory Board.

Objectives.

  • Engage with the Cambridge community on the policy issues influencing—and influenced by—machine learning and AI;
  • Learn from researchers and engineers about how data and copyrighted works enable (and constrain) machine learning;
  • Solicit viewpoints on whether current copyright frameworks enable or restrict machine learning;
  • Analyze model frameworks for emerging digital markets seeking to support machine learning research (e.g., Singapore, South Africa, Korea, Israel, etc.)
  • Document ways in which national law can restrict machine learning activities due to restrictive copyright rules lacking fair use or text and data mining flexibilities (e.g., EU, France, Germany, Australia, Mexico, New Zealand, Vietnam, Chile, etc.)

Questions

  • 1. What are some of the most promising and inspiring applications of machine learning to improve the lives of others today (e.g., medical research; breast cancer detection; Alzheimer’s prevention; language translation; global poverty reduction; etc.)?
  • 2. How is machine learning central to these advancements?
  • 3. What is the relationship between copyright law and machine learning?
  • 4. How might strict copyright law limit the ability for machine learning research?
  • 5. How might more flexible copyright law enable machine learning research?
  • 6. What does a model framework for a digital economy seeking to encourage and harness the benefits of machine learning look like?
  • 7. Are certain restrictions on use still necessary; and if so, what do they look like?
  • 11 Jun 2019 19:20 – 21:30

    Pembroke High Table Dinner with Rav Seeruthun

    Rav Seeruthun is Medical Director and Operational Board Member at Roche UK, and William Pitt Fellow at Pembroke College

    He will meet you in the Porters' Lodge at 19.20 and take you to dinner with the Fellows of the College.

    1. What are some of the most promising and inspiring applications of machine learning to improve the lives of others today (e.g., medical research; breast cancer detection; Alzheimer’s prevention; language translation; global poverty reduction; etc.)?

    Pembroke College (Porters Lodge) Trumpington Street Cambridge

  • 11 Jun 2019

    Overnight accommodation at Pembroke College

    Room K4 has been booked for you. Breakfast can be purchased in the canteen from 8am.

    Pembroke College, Trumpington Street, Cambridge, CB2 1RF
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  • 12 Jun 2019 08:30 – 08:55

    Meeting with Nicola Buckley, Associate Director, Policy Fellowships

    njb1010@cam.ac.uk

    Brief meeting to go through schedule for the visit - meet in Porters Lodge and then have meeting in dining hall over breakfast / coffee.

    Pembroke College Porters Lodge

    Directions to next meeting: 20 minute walk.

  • 12 Jun 2019 09:20 – 10:20

    Meeting with Dr Marcus Tomalin, Project Manager, Giving Voice to Digital Democracies, CRASSH

    mt126@cam.ac.uk

    1. What are some of the most promising and inspiring applications of machine learning to improve the lives of others today (e.g., medical research; breast cancer detection; Alzheimer’s prevention; language translation; global poverty reduction; etc.)?

    2. How is machine learning central to these advancements?

    Office O4 Downing College Regent St, Cambridge CB2 1DQ
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    Directions to next meeting: CSaP to arrange taxi to pick up at 10:20.

  • 12 Jun 2019 10:30 – 11:30

    Meeting with Dr Tom Grant

    Tdg20@cam.ac.uk

    Lauterpacht Centre 5 Cranmer Road Cambridge CB3 9BL
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    Directions to next meeting: CSaP to arrange taxi to pick up at 11:30.

  • 12 Jun 2019 12:00 – 13:00

    Meeting with Ann Kristin Glenster, PhD Candidate, Faculty of Law, University of Cambridge

    akg48@cam.ac.uk

    Meeting over lunch

    Hot Numbers Cafe Trumpington Street

    Directions to next meeting: CSaP to arrange taxi to pick up at 13:15.

  • 12 Jun 2019 13:30 – 14:30

    Meeting with Dr Julian Huppert, Director, Intellectual Forum, Jesus College, Cambridge

    jlh29@cam.ac.uk

    Jesus College, Jesus Lane, Cambridge, CB5 8BL (meet in Julian's room - enter through West Court entrance off Jesus Lane, go up the main staircase to the 1st floor, and his room is straight in front of you to the right of the elevator.
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  • 12 Jun 2019 15:00 – 16:00

    Meeting with Dr Jonathan Cave, Senior Tutor in Economics, University of Warwick

    j.a.k.cave@warwick.ac.uk

    Phone call Centre for Science and Policy 10 Trumpington Street Cambridge CB2 1QA
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  • 12 Jun 2019

    Overnight accommodation at Pembroke College

    Pembroke College, Trumpington Street, Cambridge, CB2 1RF
    View on map

    Directions to next meeting: 20 minute walk.

  • 13 Jun 2019 09:00 – 10:00

    Meeting with Dr Christopher Markou, PhD student, Faculty of Law, University of Cambridge

    cpm49@cam.ac.uk

    Faculty of Law (reception) 10 West Road Cambridge CB3 9DZ
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    Directions to next meeting: CSaP to arrange taxi to pick up at 10:05.

  • 13 Jun 2019 10:15 – 11:15

    Meeting with Dr Rob Doubleday, Executive Director, Centre for Science and Policy, University of Cambridge

    rvld2@cam.ac.uk

    Centre for Science and Policy, 10 Trumpington Street CB2 1QA
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  • 13 Jun 2019 11:30 – 12:15

    Meeting with Richard Sargeant, Director, ASI Data Science

    richard@sargeant.me

    Phone Call Centre for Science and Policy

  • 13 Jun 2019 12:15 – 12:45

    Lunch break (Hot Numbers)

    Hot Numbers Cafe Trumpington Street

    Directions to next meeting: CSaP to arrange taxi to pick up at 12:50.

  • 13 Jun 2019 13:00 – 14:00

    Meeting with Dr Advait Sarkar, Postdoctoral Researcher, Microsoft Research Cambridge

    advait@microsoft.com

    1. What are some of the most promising and inspiring applications of machine learning to improve the lives of others today (e.g., medical research; breast cancer detection; Alzheimer’s prevention; language translation; global poverty reduction; etc.)?

    2. How is machine learning central to these advancements?

    Microsoft Research 21 Station Rd, Cambridge CB1 2FB

    Directions to next meeting: CSaP to arrange taxi to pick up at 14:00.

  • 13 Jun 2019 14:30 – 15:30

    Meeting with Professor Lionel Bently, Herchel Smith Professor of Intellectual Property, Faculty of Law, University of Cambridge

    lb329@cam.ac.uk

    Room 2, 13 Park Terrace CB1 1JH Cambridge