Category: CLE, Alternative Dispute Resolution (CLE), Bankruptcy and Debtor-Creditor (CLE), Business & Corporations (CLE), Commercial & Consumer Law (CLE), Constitutional Law (CLE), Criminal Law (CLE), Education Law (CLE), Elder Law (CLE), Employment and Labor Law (CLE), Environmental Law (CLE), Ethics and Professionalism (CLE), Family Law (CLE), Government Law (CLE), Health Law (CLE), Intellectual Property Law (CLE), International Law (CLE), Law Practice Management (CLE), Litigation (CLE), Real Property Law (CLE), Taxation (CLE), Tort Law (CLE), Trusts, Wills & Estates (CLE) (show less)
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This class is eligible for CLE Passport use. You will be able to select the CLE Passport as your payment method for no additional cost when registering for this course.
Credits: 2.0 General Credit hours*
*This class qualifies for the California Technology in the Practice of Law.
*This class qualifies for the NY Cybersecurity, Privacy and Data Protection - General.
*This class may also qualify for technology credit in other jurisdictions having such requirements. Please contact cle@dcbar.org with any additional questions.
Class Description: In this final class in our Foundations in Modern Law: Specialized AI Practice Series, we delve into the specific, well-documented risks that accompany the use of AI in legal contexts and beyond. As attorneys begin to integrate AI-driven tools into their work, understanding the unique vulnerabilities and ethical considerations AI brings is essential. This session is designed to provide attorneys with a robust knowledge of these risks and to equip them with strategies for addressing them in practice. The following are among the topics this class addresses:
- Introduction and recap of key concepts from prior sessions, setting the stage for an in-depth look at AI-specific risks
- Overview of key concepts from prior sessions, setting the stage for an in-depth look at AI-specific risks
- Adversarial examples – How AI models can be manipulated by carefully crafted inputs, potentially leading to misleading outputs or erroneous conclusions
- The Rashomon Set (i.e., the notion that multiple models can yield equally accurate but different predictions) and its legal implications
- Impact assessments and values alignment reviews
By the end of this session, you will have a comprehensive understanding of the key risks that AI poses, the legal concerns these risks may trigger, and the ethical considerations necessary for responsible AI usage. You will be equipped with actionable strategies for risk assessment and risk documentation, which are critical for minimizing potential liabilities and maintaining client trust in an AI-integrated practice. This session is an essential guide for attorneys who aim to responsibly navigate the complexities of AI in a legally sound manner. Those interested in this class may also want to attend How AI Really Works, and What Models are Actually Modeling (On-Demand), A Deep Dive on Language Modeling (On-Demand) and Working Alongside AI Responsibly and Ethically (On-Demand).
Faculty:
Todd Smith, D.C.’s Office of the Chief Technology Officer
Cosponsors:
D.C.’s Office of the Chief Technology Officer
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