IGF 2023 WS #568 Someone Is You: Responsible AI for all the people

Subtheme

Artificial Intelligence (AI) & Emerging Technologies
Chat GPT, Generative AI, and Machine Learning
Future & Sustainable Work in the World of Generative AI

Organizer 1: ENERST MAFUTA KATOKA, Internet Society ( Affordable Internet Access SIG ) / E-TELECOM CONSULT
Organizer 2: Gabriel Karsan, ๐Ÿ”’Ongea Na Demokrasia
Organizer 3: Thokozile Precious Miya, ๐Ÿ”’United Nations Youth Track
Organizer 4: Monojit Das, Ongea na Demokrasia

Speaker 1: Ihita Gangavarapu, Technical Community, Asia-Pacific Group
Speaker 2: Bolutife Oluyinka Adisa, Civil Society, African Group
Speaker 3: Monojit Das, Civil Society, Asia-Pacific Group
Speaker 4: Lily Edinam Botsyoe, Technical Community, African Group

Moderator

Thokozile Precious Miya, Intergovernmental Organization, African Group

Online Moderator

Gabriel Karsan, Civil Society, African Group

Rapporteur

ENERST MAFUTA KATOKA, Technical Community, African Group

Format

Round Table - 90 Min

Policy Question(s)

A. How can we ensure that AI systems are developed and implemented in a responsible and ethical manner?
B. What are the potential social and economic impacts of AI, and how can we manage them to ensure they are positive?
C. What regulatory frameworks and governance structures are needed to oversee the development and deployment of AI systems?

What will participants gain from attending this session? Participants will gain a deeper understanding of the importance of responsible artificial intelligence. They will learn how AI plays a pervasive role in our daily life and how AI systems need to be designed with ethical considerations in mind.
new insights into the impact of AI on society, including issues of bias, privacy, and security. They will gain a better understanding of the principles of responsible AI and the importance of transparency, accountability, and fairness in AI governance and decision-making. Additionally, participants will learn about the current state of AI regulations and how they can get involved in shaping the future of AI. Furthermore, they will get familiarized with the best practices, tools, and techniques to design responsible AI systems.

Description:

The session will explore the concept of responsible AI for end-users and the importance of promoting AI development in its local infrastructure and societal philosophy on this emerging technologies, AI safety, lateral collaboration in infrastructure built from data to use case, and the role of governance in policy-making with algorithmic adeptness. Delivered as a debate among our diverse speakers sharing different thought schools on the most concrete approach to AI as a humanity subject matter with interchanging global south and north perspectives, and gaps in adoption.
Our Outline:
Introduction to Responsible AI for End-Users - Setting the context for the session, highlighting the importance of responsible AI development, and its impact on companies, governments, and end-users and the question of equity among its penetration as a public utility technology
AI Safety - Discussing the potential risks and unintended consequences of AI, and exploring strategies for mitigating them through effective design and testing. with a lens of diversity for inclusion and safeguarding diversity as a principle to be protected
Lateral Collaboration in Infrastructure Build from Data to Use Case - Exploring the importance of working closely with stakeholders across industry, government, and academia, to ensure that AI is developed in a way that meets the needs and priorities of all parties involved.

Supporting the New Economy - Highlighting the significance of infrastructure build to support the new economy, which requires highly adaptive, data-driven decision-making capabilities.
Role of Governance in Policy Making with Algorithmic Adeptness - Discussing the importance of promoting effective governance frameworks that support responsible AI development and use, and ensuring that policies are informed by the latest AI research and best practices.
Real-world examples and best practices - Highlighting some of the best practices and real-world examples of responsible AI development.

Expected Outcomes

By the end of the session, participants will be able to:
โ— Understand the importance of responsible AI development.
โ— Identify the potential risks and unintended consequences of AI.
โ— Develop strategies for mitigating the risks of AI through effective design and testing.
โ— Appreciate the importance of working closely with stakeholders across industry, government, and academia to develop responsible AI.
โ— Recognize the significance of infrastructure build to support the new economy.
โ— Understand the role of governance in promoting responsible AI development and use.
โ— Identify best practices for responsible AI development.
โ— Implement responsible AI practices into their own business or organization.
Resources:
The following resources will be provided to participants:
โ— the speaker's presentation slides.
โ— list of additional resources on responsible AI.
โ— An opportunity to connect with the speaker and other participants after the session.

Hybrid Format: Our workshop will adopt a hybrid format that allows both online and onsite participation. We will use the IGF zoom conferencing platform that supports live streaming, recording, chat and Q&A features. We will dedicate our website for the public awareness and digital engagement for our workshop that will host the programme details, speaker bios, presentation slides, workshop report and other relevant information. We will promote the workshop through social media platforms such as Twitter, Facebook and Instagram using hashtags such as #OngeaNaDemokrasia #IGF2023 #somoneisyouresponsibleAIForall. We will also reach out to potential participants through mailing lists, blogs and newsletters of relevant networks and organizations.