MVV347K AI, Law, and Governance
Lecture 1 Introduction
The state of AI, wide scope of AI applications
How can we establish governance models that can effectively address potential risks?
Recommended reading / watching
General short reads on AI:
https://www.ibm.com/blog/understanding-the-different-types-of-artificial-intelligence/
https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-ai
https://www.iso.org/artificial-intelligence/what-is-ai#toc7
The A-Z of artificial intelligence
https://time.com/6271657/a-to-z-of-artificial-intelligence/
Artificial intelligence: threats and opportunities
https://www.europarl.europa.eu/news/en/headlines/society/20200918STO87404/artificial-
intelligence-threats-and-opportunities
The AI Index 2024 https://aiindex.stanford.edu/report/
The IAPP Resource Centre, which includes glossaries, governance and policy trackers and other AIrelated
topics and news https://iapp.org/resources/article/global-ai-legislation-tracker/
Stanford reading list on AI https://hai.stanford.edu/news/ai-book-recs-add-these-your-reading-list
China’s AI Revolution and its Implications for Europe
Amy Webb Launches 2023 Emerging Tech Trend Report | SXSW 2023
https://www.youtube.com/watch?v=vMUpzxZB3-Y
Discussion:
• Does AI bring fundamentally new and unique challenges?
• Can we address the gap between law and technology?
• How can we effectively govern a fast evolving, dynamic concept such as AI?
• Who are the relevant stakeholders that should be involved in the process?