Texas (TX) Artificial Intelligence CLE Course Catalog

Panelists will discuss the importance of collaborative dialogue in successfully implementing AI and identify the key stakeholders necessary to achieve organization-wide success with AI. This session will highlight how different perspectives can contribute to more effective and ethical AI solutions, explore how stakeholder buy-in impacts adoption, and provide a dynamic platform for attendees to identify and discuss the crucial stakeholders necessary for the success of AI initiatives in their organizations.

This discussion will engage participants in developing concrete strategies for drafting, implementing and enforcing AI use policies within their organizations. Panelists will touch on the evolving nature of governance in the face of AI advancements and how governance is changing in reaction to AI, the conversations that need to be had, and anticipated future governance trends. The session will also tackle the challenge of 'shadow IT' -- the use of unauthorized or unmanaged tech by employees -- and offer practical solutions to manage these risks.

We’ll begin the 2024 AI Workshop exploring current, practical applications of AI in the legal sector, emphasizing real-world effectiveness over theoretical potential. Panelists will provide tips and insights on distinguishing between AI tools that offer genuine value and those that are merely overhyped solutions in search of a problem.

This session will pull back the curtain to the mysteries of Generative AI, with expert speakers answering some of the most complex questions regarding the impacts of AI on work and life. Panelists will also examine a possible new type of liability schema for regulators, and make predictions on the future of AI governance.

Conversations around generative artificial intelligence are dominating the social stratosphere. By simulating human cognitive thinking, generative AI can produce new types of text, imagery, audio, and synthetic data by using patterns and informational elements obtained from prior works. Because generative AI often relies on pools of data and third-party creations to create new content, there is a concern that generative AI may, whether intentionally or inadvertently, exploit copyright-protected content to develop purportedly original content. Organizations that leverage generative AI tools should be mindful of how the tools are used in a commercial context to mitigate the risk of infringing uses. Likewise, owners of intellectual property should be aware of how their works are used by generative AI models and the users of these tools, and timely action should be taken to defend intellectual property against infringement.

Generative AI has taken the legal world by storm in recent months and with its capabilities and sophistication advancing at a rapid pace, many are wondering how this powerful tool can be applied to the legal profession.