Session
Organizer 1: Terezinha Alves Brito, ISOC Brazil and C-PARTES
Organizer 2: Yee Man Ko , DotAsia
Organizer 3: Ana Carolina Dias, LAPIN Brazil
Organizer 4: Aaron Promise Mbah, Tlit Innovation Lab
Speaker 1: Diogo Cortiz, Technical Community, Latin American and Caribbean Group (GRULAC)
Speaker 2: Hanane Boujemi, Private Sector, Western European and Others Group (WEOG)
Speaker 3: Umut Pajaro Velasquez, Civil Society, Western European and Others Group (WEOG)
Speaker 4: Boris LO, Civil Society, Asia-Pacific Group
Aaron Promise Mbah, Private Sector, African Group
Yee Man Ko , Technical Community, Asia-Pacific Group
Ana Carolina Dias, Technical Community, Latin American and Caribbean Group (GRULAC)
Roundtable
Duration (minutes): 90
Format description: The session has a compelling purpose to engage participants onsite and online in the discussion, in particular, to highlight and identify human-centered AI initiatives worldwide that are not often mentioned on the international radar. In addition, the panel of speakers will only serve as the main source of knowledge to establish a common starting point for drawing attention to viable pathways for AI regulation and future actions, as enriching a multi-stakeholder dialogue on human-centered AI policy is one of the goals of this session. Therefore, a roundtable format will be the appropriate model to increase the opportunity for participants to intervene and the time for speakers to interact with the audience in a meaningful way.
A. How can human-centered AI policies contribute to innovation in AI technologies?
B. What is the current state of human-centered AI policies around the world, particularly with regard to fostering an environment that enables innovation?
C. How can the inclusion of a human-centered perspective contribute to improving AI regulatory frameworks to balance innovation and ethical development?
What will participants gain from attending this session? Participants and attendees will take away:
a) understanding of the relevance and benefits of human-centered standards for building an enabling environment for AI technologies and legal certainty.
b) current picture of the most relevant regulations and regulatory processes concerning human-centered AI, and how they address the role of regulation as regards technological development from a multi-stakeholder perspective.
c) knowledge from successful regulatory initiatives and case studies, highlighting best practices and lessons learned with a broad overview of policy frameworks that bridge human-centered AI and innovation for the Internet we want.
d) insights regarding viable pathways for creating AI policies that foster human rights and development from a multi-stakeholder perspective.
Description:
One of the biggest challenges of the digital age is balancing development and ethical standards. This discussion is key to creating policies that bridge AI technologies and human-centric values. In this context, this workshop will explore how human-centered AI policies can balance risks in the digital space while harnessing innovation. This session aims to present possibilities for appropriate regulatory frameworks on and for AI that create governance mechanisms to ensure the deployment of ethical standards without stifling innovation. In order to do that, this session will hear from a multi-stakeholder panel composed of AI experts, civil society organizations, company representatives, and young innovators from a broad geographical spectrum. The discussion will examine regulatory strategies and frameworks tailored to promote human well-being, transparency, and accountability, such as the OECD AI Principles, the UNESCO Recommendation on the Ethics of AI, the European Union's AI Act, the Biden AI Executive Order, and other relevant AI governance initiatives. This session will also delve into the concept of human-centered AI, highlighting insights from successful initiatives, case studies, best practices, and lessons learned. Hence, it will provide a space for interdisciplinary dialogue and knowledge sharing among policymakers, regulators, industry experts, and ethicists on this pressing topic.
The session will provide an in-depth discussion on the myth of regulation versus innovation with respect to emerging AI technologies, by offering ways, based on ongoing governance initiatives, to approach the balance between human-centered values and development in policy. It will also provide an appropriate atmosphere to foster collaboration between different stakeholders, strengthen the dialogue on corporate accountability, and the need to ensure an environment that enables innovation. The session also aims to inform civil society and governments about the possibility of building an AI governance framework that prioritizes a human rights-based perspective on technology development, without stifling AI innovation and its use for good. In addition, the session will provide meaningful insights into the opportunities of human-centered AI systems and policies, which we believe will foster a deeper understanding of the issue, highlight stakeholder efforts, and serve as a seed for action in current regulatory movements.
Hybrid Format: The session aims to facilitate a roundtable where participants will be part of the session itself. To allow it, we propose:
5min: Introduction and background. The moderator explains how the session will take place and points out that attendees can ask questions online and onsite. The moderator will also provide a QR code to collect participants’ knowledge of human-centered AI policies and regulations.
40min: The moderator introduces the policy issues and addresses the speakers with questions in a roundtable fashion.
10min: Open floor. The moderator invites all participants to take the floor either online or onsite.
20min: The moderator facilitates room for speakers to comment on issues pointed out by the participants.
10min: The moderator presents the results of the QR code responses collected at the beginning of the session and opens the floor for participant comments.
5min: Key takeaways (rapporteur) and conclusions.