In this panel, we will discuss how researchers and managers at the Marine Science Institute and the City of Corpus Christi are working to shed light on the interplay between contaminants and aquatic ecosystems, the techniques to trace their presence, the impacts they can have on human and environmental health, as well strategies for their mitigation.

Whole Communities-Whole Health Research Showcase 2024

21st century media pose challenges to preserving the historical record. Collecting institutions need guidance and new strategies in order to save selective cellphone video, GPS data, and video from surveillance cameras, drones, and police bodycams. In this Talk, Howard Besser will discuss how saving this type of material poses procedural, policy, and privacy issues.

Join Good Systems at UT Austin for its fourth annual symposium exploring the future of human-centered, values-driven artificial intelligence. Connect with an interdisciplinary and cross-sector community of faculty leaders, researchers, students, professionals, and civic leaders to discuss the most pressing opportunities and challenges in Ethical AI.

Conceptualising Trust -- and what it means for Artificial Intelligence

In this talk Dr. Julie Shah presents research case studies from industry and also shares the MIT Interactive Robotics Group's latest research effectively blending the unique decision-making strengths of humans and intelligent machines.

The annual symposium brings together university faculty, researchers, staff, students, practitioners, artists, and community members interested in applied interdisciplinary research on climate resilience, adaptation, and environmental justice.

How are our perceptions of AI technologies influenced by popular media? Join us for a dynamic and thought-provoking discussion on the blurred, hard lines, and connections between AI hype, portrayals of AI in entertainment media, and reality.

The release of OpenAI’s ChatGPT took the AI world by storm a year ago. Dhamani and Engler, co-authors of Introduction to Generative AI, will discuss how generative AI models work at a high level, with an emphasis on large language models (LLMs). This engaging discussion will not only explore the immense potential of LLMs but also shed light on their inherent limitations, fostering a nuanced understanding of their capabilities. They will discuss the broader societal, legal, and ethical issues that surround them, such as copyright and intellectual property, bias, and misuse. Further, Dhamani and Engler will share their real-world experience and outline paths forward, including recommendations for using generative tools responsibly and research approaches towards the development of safer generative AI. This discussion will be accessible to both technical and non-technical audiences, ensuring that everyone can grasp the transformative capabilities and limitations of these models so that we can collectively work towards a society that is informed and considerate about generative AI.

The leaps in AI taking place today are causing similar and even more extraordinary challenges. What can be learned from the ways in which industries adapted to UGC that we can apply to AI? How can we be better prepared for the dark side of AI when large-scale weaponization of the technology inevitably occurs? What safeguards can we start to build that might mitigate the eventual harms?