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Draft Programme

​​​​​​​​​​​​​​​​​​​​AI for Good Global Summit
Geneva, Switzerland, 7-9 June 2017

Day 1, 7 June 2017

​08:00 - 09:30High-level networking breakfast
09:30 - 1​0:00 Welcome Address
The hosts, ITU and XPRIZE, set the goals and opportunities in collaborating for a better future with Artificial Intelligence.
10:00 - 10:45Opening Keynotes: ‘Moonshots’ - Inspiration for the Future
Distinguished keynote speakers from industry and academia will share their ‘moonshots’ for the future of Artificial Intelligence.

Inaugural moonshot keynote: Inspirations about the future: Moderator: Zenia Tata, Global International Development, XPRIZE Foundation
10:45 - 11:15 Coffee break
11:15 - 12:45Plenary 1: State of Play
Recent breakthroughs have driven rapid growth in massive data sets, storage capacity, computing power, and open APIs. These changes have fueled the development of machines that can do things that once relied solely on human experience, creativity, and ingenuity.

In the opening presentations of the summit, we explore perspectives of the current moment including how AI is affecting life and organizations.

Speakers: Moderator: Wendell Wallach, Consultant, Ethicist, and Scholar at Yale University's Interdisciplinary Center For Bioethics and Senior Advisor to The Hastings Center, and the World Economic Forum
12:45 - 14:00 Lunch break
14:00 - 15:30 Plenary 2: Transformations on the Horizon
Industry and academia are working towards the next generation of computers that can understand and learn from natural spoken language, full motion video, and more. Given how much the world is already changing, what can we expect from the next generation of Artificial Intelligence systems? How will these technologies affect the world?

Presenters will explore these global opportunities, transformations, and challenges.

Speakers: Moderator: Urs Gasser, Executive Director of the Berkman Klein Center for Internet & Society, Harvard University [ Biography ]
15:30 - 16:00 Coffee break
16:00 - 18:00 Plenary 3: Future Roadmap – Collaborating for Good
A wide range of voices have been debating the future of AI. A roadmap for governments, industry, academia, media, and civil society is critical to ensure that this technology develops in a safe, responsible, and ethical manner benefiting all segments of society.

The presenters and panelists will address the issues above and will introduce the role of the ‘Breakthrough Sessions’ taking place over the next two days of the Summit.

Speakers: Panel: Co-Moderators:
​18:30 - 21:00Welcome Dinner (tour and dinner at the United Nations Office in Geneva) 

Note: * - To be confirmed

Day 2, 8 June 2017

​09:00 - 10:00Plenary 4: Privacy, Security, Ethics and Societal Challenges
AI will have far-reaching effects on the future of society that could redefine global ethics, economics, and law.

This session will discuss the need for a guiding ethical framework and code of conduct to direct the design, production, and use of AI and robotics. The session will also explore the framework’s requirements in the areas of fundamental human rights, equality, justice, non-discrimination, privacy and social responsibility. These requirements center the role of the ‘Breakthrough Sessions’ taking place over the next two days of the Summit.

Speakers: Moderator: Mike Hinchey, President, International Federation for Information Processing (IFIP) [ Biography ]
​​10:00 - 10:30 Coffee break
10:30 - 12:00
​Breakthrough Groups on Privacy and Ethics​​Breakthrough Groups on Societal Challenges
Enhancing Privacy and Security
Lead: UNICRI, OHCHR, Global Pulse

Moderator: Irakli Beridze, Senior Strategy and Policy Advisor, UNICRI

Speakers:

​Pane​lists:

Ethical dev​elopment of AI
Lead: Global Pulse, UNESCO, OHCHR

Moderator: Robert Kirkpatrick, Director, UN Global Pulse

Speakers:
Future of Work
Lead: ILO, UNIDO, UNDESA

Moderator: TBD*
Lead: UNESCO, Joseph Konstan, University of Minnesota​

Moderator: Joseph Konstan, University of Minnesota

Panels:

 Rapporteur:

 

​​ 12:00 - 13:30 ​Lunch break
​13:30 - 14:00 Plenary 5: ‘Breakthrough’ Proposals on Privacy, Security, Ethics and Societal Challenges
The rapporteurs of the ‘breakthrough groups’ will present their proposals on near-term, practical applications of AI to solve the challenges presented in their sessions.

​14:00 - 15:00 Plenary 6: AI for Common Good and Sustainable Living
AI has the potential to yield enormous value in solving many of humanity’s grandest challenges and advancing the United Nations Sustainable Development Goals. This session will explore how AI can accelerate and advance the development and democratization of solutions to promote common good and enable sustainable living.

Speakers: Moderator/Speaker: Thomas Wiegand, Executive Director, Fraunhofer Heinrich Hertz Institute and Professor, TU Berlin
15:00 - 15:30 Coffee break
15:30 - 17:00
Breakthrough Groups on Common Good​​Breakthrough Groups on Sustainable Living
AI for Prosperity
Lead: Yoshua Bengio, Montreal Institute for Learning Algorithms
Social Good Data
Lead: Global Pulse, UNDESA 
 Promoting Healthier Citizens
Lead: WHO

Moderator: Mohammed Alkady, President, Hart
 Smart Cities and Communities
Lead: ITU, UNIDO

17:00 - 17:30 ​Plenary 7: ‘Breakthrough’ Proposals on Common Good and Sustainable Living
The rapporteurs of the ‘breakthrough groups’ will present their proposals on near-term, practical applications of AI to solve the challenges presented in their sessions.
​19:00 - 20:00 ​Reception

Note: * - To be confirmed

Day 3, 9 June 2017

​09:00 - 10:00 Plenary 8:  Poverty Reduction and Capacity Building
This session will examine how AI can help end deprivation and the dangers of poverty. In addition, it will explore the opportunity for all countries to participate in the development and application of AI. The goal is to avoid expanding the “digital divide” into an “intelligence divide.”

Speakers:
Moderator/Speaker: [TBD]
​​10:00 - 10:30 Coffee break
10:30 - 12:00
​​ Breakthrough Groups on Poverty Reduction Breakthrough Groups on Capacity Building
Ending Hunger
Lead: WFP, IFAD

Moderator: Robert Opp, Director, Innovation and Change Management, WFP [ Biography​ ]

Panelists:

Co-Rapporteurs: Johanna Jochim, Special Projects Manager, WFP; Jamie Green, Innovation Accelerator Projects Manager, WFP

 

Disaster Prevention and Relief
Lead: UNICEF

Moderator: Chris Fabian, Principal Advisor, UNICEF Innovation

Panelists:

 

Education
Lead: UNESCO, UNITAR, WIPO, UNICRI

Co-Moderator: Alex Mejia, Senior Manager, UNITAR; Fengchun Miao, Chief of ICT in Education, UNESCO

Speakers:


Panelists:
​ Promoting equality in AI
Lead: OHCHR, UNIDO, ITU, Amnesty international

Moderator: Sherif Elsayed-Ali, Head of Technology and Human Rights, Amnesty International

Rapporteur: Ahmed Motala, Human Rights Officer, OHCHR


​12:00 - 12:30 Plenary 9: ‘Breakthrough’ Proposals on Poverty Reduction and Capacity Building
The rapporteurs of the ‘breakthrough groups’ will present their proposals on near-term, practical applications of AI to solve the challenges presented in their session.
​​ 12:30 - 13:30 ​Lunch break
​13:30 - 14:30 Plenary 10: Investments, Economic Aspects and Designing the Future
Government, industry, academia, private sector and civil society need to work together to mitigate the risks posed by AI, ensuring that AI benefits all of humanity. This session will explore how Global partnerships inclusive of all segments of society will offer crucial support to the pursuit of this goal.

Speakers:
Moderator: Andy Chen, Board Chair, IEEE Computer Society [ Biography ] 
14:30 - 16:15 ​
Breakthrough Groups on investment and Economic Aspects Breakthrough Groups on Designing the Future
Impact Investment

Lead: Ash Fontana, Managing Director, Zetta Ventures
KPI for Success​

Lead: Marie-Jose Bahnam, Sr. Director, Foundation Priorities, XPRIZE 
Lead: Lynne Parker, Professor, University of Tennessee-Knoxville, Co-lead of task force that created the U.S. National Artificial Intelligence Research and Development Strategic Plan
Roadmap for Collaboration​

Lead: XPRIZE and ITU
​16:15 - 16:30 Coffee break
16:30 - 17:00 Plenary 11: ‘Breakthrough’ proposals on investments, economic aspects and designing the future
The rapporteurs of the ‘breakthrough groups’ will present their proposals on near-term, practical applications of AI to solve the challenges presented in their sessions.
17:00 - 18:00 Plenary 12: Closing Session - Applying AI for Good 
Drawing on all of the proposals from the ‘Breakthrough Sessions’, the Summit will propose strategies for:
  1. Development of applications and systems that benefit humanity
  2. Identifying opportunities to pinpoint practical and impactful applications, with impact in the near term
  3. Identifying a roadmap for ethical, safe, and democratic access
  4. Ongoing UN ITU and XPRIZE inspired projects to support and monitor the practical implementations of AI for Good
Speakers:

Note: * - To be confirmed

Breakthrough Sessions

Enhancing Privacy and Security
AI has the potential to reveal detailed private information through embedded, mobile and wearable devices, advanced facial recognition and predictive analysis, leading to the questions of whether the current privacy and security standards can still protect and safeguard personal data, individual privacy and identity and whether the beginning of AI can risk the end of privacy and anonymity. The security vulnerabilities of AI systems, will affect the application of AI technologies in a safe manner, especially in the world of cyberwarfare. As AI powered technologies can self advance, leaving uncertainty in applying standard data protection principles of accountability, transparency, consent, control, how can we ensure that proper data privacy and data security measures and standards are in place.  This session will also address some of the following questions: How can we ensure cybersecurity of AI and how can we protect against the unauthorized manipulation of AI algorithms that undermine confidence in the control and safety of AI-powered autonomous vehicles and drones, biomonitoring, healthcare robotics, or robots responsible for the maintenance of public order? How can we ensure that AI contribute to the global security & peace in general and not create chaos?
[Updated on 23 May 2017]

Ethical development of AI
Conferring human capabilities on machines raises a series of challenging ethical questions. How will AI make life-and-death decisions, for example, in deciding how autonomous vehicle behave in the moments preceding a crash? Who will be liable for harm caused by AI, the machine or its maker? How will we ensure that AI does not adopt the biases of its human creators? And what are the most promising means of ensuring that the design and operation of AI is characterized by accountability, transparency and good ethics?

Future of Work​
AI will eventually be capable of performing not just routine tasks but also the functions of doctors, lawyers, engineers and other professions reliant on expert judgement and specialized qualifications. How will AI's augmentation of jobs, elimination of jobs affect the quality of life enjoyed by human beings? Will AI's increasing influence on production processes reduce tax revenues to the detriment of social welfare systems, and is it time to revisit the concept of social welfare spending as more and more people hand over their jobs to machines?

Humans and Machines​
​AI has the potential to enhance the human brain's ability to reason and comprehend new concepts. Considering the state of today's technology and the extraordinary possibilities appearing on the horizon, are we now on the brink of a revolution in what it means to be human? And what are the ethical considerations relevant to our decision of whether or not to take that leap?
As robotics and autonomous systems flourish, human-robot relationships are becoming increasingly complex. Caregiving, peer or team-mate human-AI/robot roles will inevitably lead to some degree of emotional attachment leading to problems of co-dependence and attachment. What if humans become emotionally dependent on robots?​

AI for​ Prosperity
AI will increase efficiency and productivity to an extent far beyond the current limitations of human labor. AI-powered automation may create factories full of workers that never sleep, eat, or expect pay for the day’s labor. As this type of production process yields higher economic output, how will we ensure that the associated financial gains do not accrue just to the owners of AI-powered machinery? How can we ensure developing nations can continue to develop towards prosperity?
Social Good Data
AI innovation will be central to the achievement of the United Nations’ Sustainable Development Goals. This will be achieved by capitalizing on the unprecedented quantities of data now being generated by sensors, mobile and embedded devices, Internet of Things, and satellites. What datasets and practical means of exploiting them provide the greatest potential for meeting the grandest challenges facing humanity? And considering that data resources are produced by modern technology and infrastructure, how might we expand access to data-derived insights and inform future development strategies?
Promoting Healthier Citizens
The practice of medicine is now augmented by AI systems that can process the entire history of recorded medical research and analyze large datasets of medical imagery. These systems guide evidence-based treatments and inform healthcare policy. Initial deployments of these AI medical systems are largely in the developed world, which further expands the gap between medical standards and practices around the world. What are the foundational requirements for extending AI-enhanced medicine to the developing world?
Smart Cities and Communities
The world needs to maintain quality of life for the billions of people living in increasingly dense, urban environments. Improvements in sensor technology, Internet connectivity, and autonomous vehicles will improve the capabilities for building “smart cities.” How will we improve the quality of urban life by improving the social and physical infrastructure of cities? How can corporations and governments work with AI technologies to improve communities?
Ending Hunger
The number of people inhabiting the earth is increasing far faster than the area of arable land. Solving the challenge of hunger requires smarter means of crop production and distribution. Improvements in satellite imagery, sensor data and the understanding of natural systems can feed into modern AI models. Technologies can help us to optimize crop yields, reduce water use and improve crop disease treatment. What are the most effective means of leveraging AI to improve food production and procurement for all people?
Disaster Prevention and Relief
New satellite data and ground intelligence support AI systems for predicting disasters and aiding the persons affected. This session will explore AI technology that may aid governmental and local efforts to safeguard life in disaster areas. How will predictive AI capabilities help us to prepare for impending natural disasters and avoid tolls on human life? How might we leverage AI to improve emergency response in the wake of disasters? Could AI yield insight on weather patterns and long-term climate change to inform national development strategies?
Education
AI promises to enhance all forms of education, enabling the personalization of education at scale. Natural-language processing and machine learning are enabling teachers to multiply the size of their classrooms while addressing individual students’ unique learning pace, needs, and styles. The entrance of AI, however, may render current education systems obsolete, calling for inclusive global dialogue around the best way to leverage intelligent tutoring systems and peer learning mechanisms to augment the capacities of professional educators. How can AI improve effectiveness and access to continuous academic instruction?
Promoting Equality in AI
Developing countries stand to benefit enormously, but many lack the capacity to implement AI to its full potential. How might we provide an equitable basis for all the world’s countries to expand their knowledge of AI and participate in the decision-making processes guiding innovation? What are the most promising means of enabling universal access to essential AI capabilities, such that the benefits do not accrue solely to the countries leading in research and development?
Impact Investment
Various initiatives aim to ensure the safe and equitable development of AI. What are the investment models with the most potential to deliver returns of value to investors as well as society at large? How should the priorities of government investment differ from the investment of private investors?
KPI for Success
As AI technologies continue to develop, we require better methods for understanding how regulations and investments are shaping the general welfare. With proper measurement it is possible to understand how our interventions may (or may not) promote solutions to sustainable development goals. The principal concern is that AI systems are being integrated into key social institutions, even though their accuracy, and their social and economic effects, have not been rigorously studied or validated. In this session we explore questions at the intersection of AI, public policy, and economics to develop possible quantitative assessment of AI Roadmaps.
[Updated on 23 May 2017]
Approaches by Governments, Industries, and Other Stakeholders
Several governmental reports have recommended national approaches to questions surrounding artificial intelligence and its impact on society. Is there a global approach we could extract from these national efforts? What are the similarities and differences between these approaches? Can we identify a common path towards AI for Good?
Roadmap for Collaboration
Although we are yet to agree on the required mechanism, we are in clear need of an inclusive global dialogue to address the challenges and opportunities brought on by AI in policy, regulation, business, ethics and standardization. The agreement of a roadmap plotting a responsible development path for technology will demand the active involvement of government, industry, academia and civil society. How can we best utilize the expertise of AI researchers, corporations, and the general public to inform policy decisions around artificial intelligence? How can institutions adapt their missions to utilize the new opportunities of AI? What perspectives are currently missing from the discussion and how can we involve them? It is crucial that all stakeholders work together to identify a set of specific frameworks and strategies to create a roadmap to ensure that AI benefits all of humanity.
  

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