TUESDAY 9 OCTOBER 2018, 14:00–16:30
IFT — FEDERAL INSTITUTE OF TELECOMMUNICATIONS
A two-part workshop with experts leading a discussion looking at how AI is bringing economic and social good while highlighting the issues that policymakers are concerned about and then moving to a capacity-building session looking at promising governance approaches.
SESSION 1: DEVELOPMENT, IMPACTS, AND POLICY-MAKING
Society, business, government, and regulators all recognize the benefits of transforming to a digital economy. Equally the speed of change means they are all trying to make sense of the technology involved, where it might be heading and what it could mean for the way we use its applications across diverse domains.
l How is AI bringing benefits to economy and society?
l What are key areas for consideration to minimize unintended consequences so that policy and regulation are supportive of long-term growth and ensure that the benefits of AI are distributed across society?
SESSION 2: CAPACITY BUILDING — ENSURING POLICY MAKERS HAVE THE RIGHT TOOLS AT THEIR DISPOSAL
What are key considerations that regulators should bear in mind when formulating AI policy? This session will examine promising approaches to AI governance, including collaboration and coordination to avoid a piecemeal approach which can have a chilling effect on innovation and delay bringing the advantages of digital to societies and economies. It will examine the opportunities to collaborate with academia, civil society and industry as well as regulators. How best to introduce expertise into all branches and levels of policy making to enable good decision-making?
Section 1: Development, Impacts, and Policy-making
Moderator:
Javier Juárez Mojica, Commissioner, IFT
- Federal Institute of Telecommunications, Mexico
Speakers:
Ms Nicole Chan, Chairperson,
National Communications Commission (NCC), Taiwan
Chris McLaughlin, GTM Strategy,
Cloud Artificial Intelligence and Machine Learning, Google
Andres Maz, Public Policy — Latin America, Amazon Web Services
Section 2: Capacity Building- Ensuring Policy Maker have the right tools at their disposal
Moderator:
Chris Chapman, President, International Institute of Communications
Speakers:
Roberto Martínez Yllescas, Head of the OECD Mexico Centre
Juan José Delgado, National Technology Officer, Microsoft Mexico
Luis Fernando Garcia Muñoz, Director, Red en Defensa de los Derechos Digitales (R3D)
Concluding Remarks
Javier Juárez Mojica, Commissioner, IFT
- Federal Institute of Telecommunications, Mexico
Good afternoon,
Nice to be here again to share and exchange ideas on the topic Artificial Intelligence (AI) from the Development, Impacts, and Policy-making’s point of view.
We all know that right now we are approaching the 5G and already entered in to the post-convergence era. As we have been hearing about AI for few years, with the coming 5G networks, the super high speed(超高速), low latency(低延遲) and Low power consumption (低功耗) designed network will facilitate the AI development. Actually 5G will be a huge platform on which all the Information & Communications Technologies can be utilized with all the possible ways into all different kinds of vertical industries and all around our lives. I always like to describe the future connectivity as Galaxy.
In fact, 5G is not just about faster and wider broadband, lower power consumption, and lower latency and will not only speed up the evolution of applications of Information & Communications Technologies, it will likely change a country’s economy and people’s lives. We believe that the 5G network will be the backbone that makes the next digital leap — a true digital transformation — possible.
According to the reports from many research institutes, Top 10 Use cases for AI roughly are: Healthcare, Finance (specially on Fraud Detection), Manufacturing, Retail (inventory Optimization), Transportation (Demand Forecasting), Networks (Intrusion Detection), E-Commerce (Recommender Systems), Media (Interaction and Speed), Education (Research Insight) and, of course, Government for Smarter Services. And the most import key issue is that mobile data is one of the major growth drivers within the digital environment.
In Taiwan, we have a National AI Project. This AI Project leverages Taiwan’s ICT hardware manufacturing, semi-conductor advantage, and soft power to explore opportunities that can advance the digital economy. The development of the AI Project is covered by cloud computing, network linking and edge devices manufacturing. And The Ministry of Science and Technology (MOST) intends to build and AI innovation ecosystem through five master strategies and would build up a science & technology research platform based on talent cultivation.
(Which are:
- AI Cloud Service Platform:R&D Services
- Robot Makerspace: Creativity & Practice
- AI Research Center: value-added innovation
- AI chip Moonshot Program: Industrial pilot program
- Formosa Grand Challenge: Social Praticipation
AI is not an industry, but AI applications are needed in industries, and with AI, we may improve overall competitiveness and move towards a smart society.
Just as Brahima Sanou, the director of ITU Telecommunication Development Bureau said, “We are now living in a world of digital opportunities and with those opportunities comes a new set of challenges, requiring a new set of regulations.” Undoubtedly, the regulatory paradigm shift will play an important role in boosting the digital economy.
When we talk about technology, we should always consider the impact of such technology. For AI, the most important one is “Ethic”. We have to bear in mind all the time how to proactive formulation of internal policies and how to respond to specific issues in a responsible way. We can see many Technology Giants have already announced their core values and principles and benefit the broader society. The ethical principles of AI, which include the fairness, transparency, and accountability of algorithms and so on, are the key to the credibility of AI technology. Such statement was agreed in the 18th edition of the Global Symposium for Regulators (GSR) in Geneva this year.
According to the released Paper “AI in the UK: ready, willing and able? “, there are five core principles to keep AI ethical
1. AI should be developed for the common good and benefit of humanity
2. AI should operate on principles of intelligibility and fairness
3. AI should not be used to diminish the data rights or privacy of individuals, families or communities.
4. All citizens have the right to be educated to enable them to flourish mentally, emotionally and economically alongside AI.
5. The autonomous power to hurt, destroy or deceive human beings should never be vested in AI.
What Should Regulators and Policy Makers do? The directions need to be considered include:
1. Construction broadband Infrastructure for Digital Era as the broadband network is the fundamental to digital society.
2. Re-consider the diagram shift for the industry. Government should reconsider the change occurred by the development technologies.
3. Modulate policy and regulation to promote or accelerate the industrial development.
4. Internet Governance. When dealing with the emerging issues in the digital era, it is important to adopt multi-stakeholder model to have different roles such as not only regulators but also enterprises, and citizens involved.
The role of regulator in post convergence era may be we can use this slide to describe:
We should be always keep eyes on the trend of digital economic paradigm shift, modulate policy and regulation with adaptability & agility, and be with new mindset to brace the future, and pay attention to Cyber-security & privacy issues, and never slight the Ethics issues caused by digital technology.
“DANCE”, and it is what NCC would be
AI technology is under developing and it is an on-going issue. We should be open minded and make it keep discussing, but never forget the key issues we need to address.
Thank for your attention!
