Faegre Drinker
Artificial Intelligence Risk Management Framework
Pages
1
Time to read
2 mins
Publication
Language
English
Pages
1
Time to read
2 mins
Publication
Language
English
This document is a guide focused on advising organizations on regulations and risk management related to artificial intelligence (AI) and algorithmic decision-making. It outlines the potential risks that organizations may face, including regulatory, litigation, and reputational risks associated with unintended bias in AI tools. The guide emphasizes the importance of understanding these risks and offers a comprehensive approach that combines legal expertise with data science. It details how organizations can build a risk management framework to identify, monitor, and mitigate risks associated with AI and algorithms while adapting to new regulations. The document also highlights the need for organizations to stay informed about emerging laws, regulations, and industry best practices that could impact their operations. Additionally, it mentions the importance of connecting with industry leaders and engaging in thought leadership to navigate the evolving landscape of AI and data governance.