From revolutionizing industries and increasing productivity to displacing jobs and increasing bias, the rapid progression of Artificial Intelligence is impacting society and brings with it a host of ethical considerations and challenges. This session will explore the ethical implications of using AI in business and in legal decision-making, including issues related to bias, privacy, and transparency. Our expert panelists will share best practices to use AI tools ethically and responsibly, and will provide valuable insight on how legal departments are navigating the risks. Discussion topics include:

• The complex regulatory environment and managing the risks associated with deploying AI models trained on proprietary data Intellectual property rights as they pertain to datasets and the implications of using proprietary data in AI training
• Strategies for maintaining transparency in AI training processes and ensuring accountability for the outcomes of AI systems
• Inherent biases in owned datasets and the ethical duty to mitigate discriminatory outcomes in AI applications

Eligible for 1 credit in New York Cybersecurity, Privacy & Data Protection-Ethics