Information on Tap

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Ten Ways Librarians are Using AI
Sarah Bratt, Assistant Professor
Artificial intelligence (AI) is on the rise in library settings, with its implementation swiftly extending into user services, collection development and library administration. AI uses include digital assistants for helping patrons, robots as library aides and recommendation systems. Machine learning and computer vision methods are employed to enhance the accessibility of library collections. Learn about AI being applied in the real world and discuss the impact, implications, benefits and challenges of developing and designing AI-based technologies in the library and information environments.
 

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An AI Stole My Copyright!
Tyler Millhouse, Assistant Professor of Practice
Generative AI systems (like ChatGPT, Midjourney or DALL-E) can create realistic text and images, and many have been impressed by the artistic merits of these works. Should we offer copyright protection to these works? One argument against doing so is that the output of generative AI is ultimately based on its training data—which consists primarily of copyrighted works by human artists. One argument in favor of doing so is that the process by which generative AI learns and creates is analogous to the process by which human artists learn and create. After all, even the most creative and celebrated human artists learn from and are inspired by the works of others. Unfortunately, both sides of this argument fundamentally misunderstand why copyright protection is important. Any decision on whether to award copyrights to AI-generated works must be based on what advances human wellbeing and not on the similarities (or lack thereof) between human and AI artists.
 

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Help! My Lawyer is an AI
Jennifer Rochelle, Assistant Professor of Practice
This talk will explore the evolving relationship between artificial intelligence (AI) and the legal landscape. We will delve into current AI applications in legal practice, discussing its impact on efficiency, decision-making and ethical considerations. Real-world examples will highlight AI's role in legal research, document analysis, predictive analytics and how AI could help you (in legal matters, that is!). The session will also address challenges such as algorithmic bias, transparency and accountability, emphasizing the need for a balanced regulatory approach. The talk will conclude with a glimpse into the future, discussing emerging trends and collaborative efforts shaping the intersection of AI and the possibility of leveraging AI for a more accessible and equitable legal system for all!