Established to study and formulate best practices on AI technologies, to advance the public’s understanding of AI, and to serve as an open platform for discussion and engagement about AI and its influences on people and society.
Press ReleasesSeptember 28, 2016 NEW YORK — IBM, DeepMind,/Google, Microsoft, Amazon, and Facebook today announced that they will create a non-profit organization that will work to advance public understanding of artificial intelligence technologies (AI) and formulate best practices on the challenges and opportunities within the field. Academics, non-profits, and specialists in policy and ethics will be invited to join the Board of the organization, named the Partnership on Artificial Intelligence to Benefit People and Society (Partnership on AI).
The objective of the Partnership on AI is to address opportunities and challenges with AI technologies to benefit people and society. Together, the organization’s members will conduct research, recommend best practices, and publish research under an open license in areas such as ethics, fairness, and inclusivity; transparency, privacy, and interoperability; collaboration between people and AI systems; and the trustworthiness, reliability, and robustness of the technology. It does not intend to lobby government or other policymaking bodies.
The organization’s founding members will each contribute financial and research resources to the partnership and will share leadership with independent third-parties, including academics, user group advocates, and industry domain experts. There will be equal representation of corporate and non-corporate members on the board of this new organization. The Partnership is in discussions with professional and scientific organizations, such as the Association for the Advancement of Artificial Intelligence (AAAI), as well as non-profit research groups including the Allen Institute for Artificial Intelligence (AI2), and anticipates announcements regarding additional participants in the near future.
AI technologies hold tremendous potential to improve many aspects of life, ranging from healthcare, education, and manufacturing to home automation and transportation. Through rigorous research, the development of best practices, and an open and transparent dialogue, the founding members of the Partnership on AI hope to maximize this potential and ensure it benefits as many people as possible.
Francesca Rossi is a research scientist at the IBM T.J. Watson Research Centre and a professor of computer science at the University of Padova, Italy.
MUSTAFA SULEYMAN – INTERIM CO-CHAIR
Mustafa Suleyman is co-founder and Head of Applied AI at DeepMind, where he is responsible for the application of DeepMind’s technology to real-world problems, as part of DeepMind’s commitment to use intelligence to make the world a better place. In February 2016 he launched DeepMind Health, which builds clinician-led technology in the NHS. Mustafa was Chief Product Officer before DeepMind was bought in 2014 by Google in their largest European acquisition to date. At 19, Mustafa dropped out of Oxford University to help set up a telephone counselling service, building it to become one of the largest mental health support services of its kind in the UK, and then worked as policy officer for then Mayor of London, Ken Livingstone. He went on to help start Reos Partners, a consultancy with seven offices across four continents specializing in designing and facilitating large-scale multi-stakeholder ‘Change Labs’ aimed at navigating complex problems. As a skilled negotiator and facilitator Mustafa has worked across the world for a wide range of clients such as the UN, the Dutch Government, and WWF.
Greg Corrado is a senior scientist at Google Research, and a co-founder of the Google Brain Team. He works at the nexus of artificial intelligence, computational neuroscience, and scalable machine learning, and has published in fields ranging from behavioral economics, to particle physics, to deep learning. In his time at Google he has worked to put AI directly into the hands of users via products like RankBrain and SmartReply, and into the hands of developers via opensource software releases like TensorFlow and word2vec. He currently leads several research efforts in advanced applications of machine learning, ranging from natural human communication to expanded healthcare availability. Before coming to Google, he worked at IBM Research on neuromorphic silicon devices and large scale neural simulations. He did his graduate studies in both Neuroscience and Computer Science at Stanford University, and his undergraduate work in Physics at Princeton University.
Eric Horvitz is technical fellow at Microsoft, where he serves as director of the Microsoft Research lab at Redmond. His research contributions span theoretical and practical challenges with computing systems that learn from data and that can perceive, reason, and decide. His efforts have helped to bring multiple systems and services into the world, including innovations in transportation, healthcare, aerospace, ecommerce, online services, and operating systems. He has been elected fellow of the National Academy of Engineering (NAE), the Association for the Advancement of AI (AAAI), the American Association for the Advancement of Science (AAAS), and the American Academy of Arts and Sciences. He received the Feigenbaum Prize, the ACM-AAAI Allen Newell Award, and the ACM ICMI Sustained Achievement Award for foundational research contributions in AI. He was inducted into the CHI Academy for advances in human-computer collaboration. He has served as president of AAAI, chair of the AAAS Section on Computing, and on advisory committees for the National Institutes of Health, the National Science Foundation, the Computer Science and Telecommunications Board (CSTB), DARPA, and the President’s Council of Advisors on Science and Technology. He received his PhD and MD degrees from Stanford University. More information can be found at research.microsoft.com/~horvitz.
Yann is the Director of AI Research at Facebook since December 2013, and Silver Professor at New York University on a part-time basis, mainly affiliated with the NYU Center for Data Science, and the Courant Institute of Mathematical Science.
Ralf is Director of Machine Learning at Amazon and Managing Director of the Amazon Development Center Germany. His team works on problems scalable and resource-aware machine learning, probabilistic learning algorithms (including forecasting), linking structured content, and computer vision. In 2011, he worked at Facebook leading the Unified Ranking and Allocation team. From 2000 – 2011, he worked at Microsoft Research and was co-leading the Applied Games and Online Services and Advertising group which engaged in research at the intersection of machine learning and computer games. Ralf was Research Fellow of the Darwin College Cambridge from 2000 – 2003. He has a diploma degree in Computer Science (1997) and a PhD in Statistics (2000). Ralf’s research interests include Bayesian inference and decision making, reinforcement learning, computer games, kernel methods, and statistical learning theory. He is one of the inventors of the Drivatars system in the Forza Motorsport series as well as the TrueSkill ranking and matchmaking system in Xbox 360 Live. He also co-invented the adPredictor click-prediction technology.
HOW DID THE IDEA FOR THIS ORGANIZATION COME ABOUT?
WHAT ARE THE ORGANIZATION’S GOALS?
The goals are to ensure that applications of AI are beneficial to people and society. We believe that artificial intelligence technologies hold great promise for raising the quality of people’s lives and can be used to help humanity address important global challenges. This organization seeks to ensure that our work fulfills these expectations. To do this, the organization will study the potential societal impact of AI systems, and develop and share best practices. We will also create working groups for different sectors, for example healthcare and transportation, allowing us to conduct research on the specific AI applications in these different sectors of the economy. We will also develop educational resources and host open forums to widely disseminate information about the latest topics in the field and support an ongoing public discussion about the technology.
We are very excited to work with anyone who is interested in joining our effort. This is a collaborative and multi-stakeholder organization and we want people with an interest in AI from across all fields to take part. If you want to take part in some way then please email us at[email protected].
The engagement of AI users and developers, as well as representatives of industry sectors that may be impacted by AI (such as
- financial services,
- telecommunications, and
to support best practices in the research, development, and use of AI technology within specific domains.
We believe that artificial intelligence technologies hold great promise for raising the quality of people’s lives and can be leveraged to help humanity address important global challenges such as climate change, food, inequality, health, and education.
The Partnership on AI shares the following tenets:
- We will seek to ensure that AI technologies benefit and empower as many people as possible.
- We will educate and listen to the public and actively engage stakeholders to seek their feedback on our focus, inform them of our work, and address their questions.
- We are committed to open research and dialog on the ethical, social, economic, and legal implications of AI.
- We believe that AI research and development efforts need to be actively engaged with and accountable to a broad range of stakeholders.
- We will engage with and have representation from stakeholders in the business community to help ensure that domain-specific concerns and opportunities are understood and addressed.
- We will work to maximize the benefits and address the potential challenges of AI technologies, by:
- Working to protect the privacy and security of individuals.
- Striving to understand and respect the interests of all parties that may be impacted by AI advances.
- Working to ensure that AI research and engineering communities remain socially responsible, sensitive, and engaged directly with the potential influences of AI technologies on wider society.
- Ensuring that AI research and technology is robust, reliable, trustworthy, and operates within secure constraints.
- Opposing development and use of AI technologies that would violate international conventions or human rights, and promoting safeguards and technologies that do no harm.
- We believe that it is important for the operation of AI systems to be understandable and interpretable by people, for purposes of explaining the technology.
- We strive to create a culture of cooperation, trust, and openness among AI scientists and engineers to help us all better achieve these goals.
In support of the mission to benefit people and society, the Partnership on AI intends to conduct research, organize discussions, share insights, provide thought leadership, consult with relevant third parties, respond to questions from the public and media, and create educational material that advance the understanding of AI technologies including machine perception, learning, and automated reasoning.