Navigating the Uncharted Legal Terrain of Artificial Intelligence

SKU: TECH022

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About This Course

Artificial Intelligence (AI) is a branch of computer science that studies the development and implementation of algorithms and software that allow machines to think and act like humans. AI has many different forms, the most popular of which are machine learning like ChatGPT, natural language processing, computer vision, and robotics.

In general, AI is a rapidly advancing field with a variety of applications. It is used to automate tasks, improve efficiency, and create new opportunities. AI has the potential to revolutionize the way we interact with technology, and it continues to evolve and develop as new technologies emerge.

With such a rapidly evolving field, the legal challenges presented by AI are numerous and complex, and it is important that the legal framework keeps up with the rapid development of AI-enabled products and services. This CLE lecture will provide an overview of the technology, the applicable laws, and the ethical minefields associated with AI.

Learning Objectives

  • I. Dipping a toe in the pond:
  • a. Define AI and its different forms (e.g., machine learning, natural language processing, computer vision)
  • b. Provide examples of AI applications in the legal field (e.g., predictive coding, contract review, legal research)
  • II. Calling AI to the stand:
  • a. Discuss the current legal framework for AI, including any relevant legislation and regulatory bodies (e.g., GDPR, CCPA)
  • b. Outline the legal challenges presented by AI, such as liability and accountability for AI-related harms
  • c. Explain the concept of "explainable AI" and its importance in the legal context
  • III. Disruption and responsibility
  • a. Outline the potential negative (and positive) impacts of AI on society (e.g., job displacement, privacy concerns, etc.)
  • b. Discuss the ethical considerations surrounding AI, such as bias and discrimination
  • c. Explain the importance of incorporating ethical considerations into the development and deployment of AI
  • d. The future of research and development in the field of AI and the law

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