Description: Machine learning and artificial intelligence/augmented intelligence (AI), powered by streams of data and advanced algorithms, have incredible potential to improve countless consumer and enterprise use cases. Yet, applications of AI have also given rise to a variety of potential effects and challenges to consider, including notice/consent, bias, inclusion, transparency and digital due process, and law enforcement access to data, among others. As AI innovations continue to be developed and even start to enter today’s regulatory processes, the IGF community is appropriately considering whether Internet governance policy changes are needed to address trustworthiness.
This workshop will provide diverse viewpoints on how Internet governance can help make AI “trustworthy” and the different steps are needed to foster trust, including: protecting privacy and personal data, enhancing cybersecurity, being transparent about problems and bias, respecting human rights, and lifecycle design for safety and diversity.
This session will feature diverse viewpoints from across the IGF community to advance the public conversation on the role of Internet governance with respect to AI trustworthiness, and will conclude with calls to action to the IGF community towards realizing trustworthy AI.
Expected Outcomes: At the conclusion of this session, participants will:
1. Understand the opportunities and implications, and Internet governance policy and regulatory matters associated, with AI trustworthiness.
2. Appreciate how OTT players and other stakeholders offering app services can (and where they are not, should) take steps to address concerns related to AI trustworthiness (e.g., security, safety, and privacy of the consumer).
3. Identify differing viewpoints regarding Internet governance approaches regarding AI to help the creation of environment in which all stakeholders are able to prosper and thrive
4. Understand Internet governance approaches (including at the local and international level) to AI and these governance approaches’ relationship to realizing the benefits of AI.
