This session explores the history and evolution of machine learning, artificial intelligence, and generative AI, tracing their development from early innovations to modern applications. Participants will learn how generative AI creates realistic audio, images, and video, with real-world examples demonstrating its capabilities.The session also examines the unforeseen dangers of generative AI, including its connection to CSAM, highlighting the ethical and legal risks of AI-generated content. In addition, the session provides guidance on addressing legal challenges related to AI-generated media, such as countering defenses that claim authentic images are AI-generated. Finally, the course reviews existing legislation and future regulatory challenges surrounding AI and digital content, offering insights into how lawmakers are responding to the rapidly evolving field.
Learning Objectives:
Participants will gain a comprehensive understanding of the history and development of machine learning, artificial intelligence, and generative AI, including their applications in creating realistic audio, images, and video.
Participants will examine the ethical challenges and unforeseen dangers associated with generative AI, including its connection to CSAM, and learn how to address legal concerns regarding AI-generated media.
Participants will gain knowledge on countering legal defenses related to AI-generated content and understand existing and future legislation addressing the risks and opportunities posed by AI and digital media.
