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Suggested Citation:"Acknowledgments." National Academy of Sciences. 2018. The Frontiers of Machine Learning: 2017 Raymond and Beverly Sackler U.S.-U.K. Scientific Forum. Washington, DC: The National Academies Press. doi: 10.17226/25021.
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Acknowledgments

The following distinguished scholars served on the planning committee:

Peter Donnelly, FMedSci1/FRS,2 University of Oxford, Co-Chair,

Michael Kearns, University of Pennsylvania, Co-Chair,

Tom Dietterich, Oregon State University,

Cynthia Dwork, NAS3/NAE,4 Harvard University,

Zoubin Ghahramani, FRS, University of Cambridge,

Nathan Griffiths, University of Warwick,

Sofia Olhede, University College London,

David Vladeck, Georgetown University, and

Bin Yu, NAS, University of California, Berkeley.

This summary of the forum is drawn from the presentations and discussions of participants at the meeting. It was prepared by rapporteur Linda Casola with assistance from Michelle Schwalbe, Jessica Montgomery, Jon Eisenberg, Catherine Pollack, Kim DeRose, and Ben Wender, and it was reviewed in draft form by members of the planning committee. The reviewers provided comments and suggestions but were not asked to endorse the views in the document. Oversight of the review process was provided by the National Academy of Sciences’ Council Committee on Scientific Programs. Sincere thanks to the Raymond and Beverly Sackler U.S.-U.K. Scientific Forum for support of this activity.

images The National Academy of Sciences was established in 1863 by an Act of Congress, signed by President Lincoln, as a private, nongovernmental institution to advise the nation on issues related to science and technology. Members are elected by their peers for outstanding contributions to research. Dr. Marcia McNutt is president.
images The Royal Society is a self-governing Fellowship of many of the world’s most distinguished scientists. Its members are drawn from all areas of science, engineering, and medicine. It is the national academy of science in the U.K. The Society’s fundamental purpose, reflected in its founding Charters of the 1660s, is to recognize, promote, and support excellence in science and to encourage the development and use of science for the benefit of humanity.

__________________

1 FMedSci, Fellow of the Academy of Medical Sciences.

2 FRS, Fellow of the Royal Society.

3 NAS, National Academy of Sciences.

4 NAE, National Academy of Engineering.

Suggested Citation:"Acknowledgments." National Academy of Sciences. 2018. The Frontiers of Machine Learning: 2017 Raymond and Beverly Sackler U.S.-U.K. Scientific Forum. Washington, DC: The National Academies Press. doi: 10.17226/25021.
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The field of machine learning continues to advance at a rapid pace owing to increased computing power, better algorithms and tools, and greater availability of data. Machine learning is now being used in a range of applications, including transportation and developing automated vehicles, healthcare and understanding the genetic basis of disease, and criminal justice and predicting recidivism. As the technology advances, it promises additional applications that can contribute to individual and societal well-being.

The Raymond and Beverly Sackler U.S.-U.K. Scientific Forum "The Frontiers
 of Machine Learning" took place on January 31 and February 1, 2017, at the Washington, D.C., headquarters of the National Academies of Sciences, Engineering, and Medicine. Participants included industry leaders, machine learning researchers, and experts in privacy and the law, and this report summarizes their high-level interdisciplinary discussions.

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