As artificial intelligence tools become increasingly integrated into academic life, The University of Texas at Austin is leading the way with new guidelines to help students, faculty and staff use AI responsibly in educational settings.

Good Systems helped launch a national network of universities — a "community of practice" — committed to ethical AI. The group shares research, teaching strategies and policy ideas to ensure AI advances in a just and responsible way.

Good Systems is part of a growing alliance of tech, civic and academic partners working to shape the future of AI in Austin through ethics, education, policy and practical collaboration.

Experts in AI, the humanities, and ethics gathered at Johns Hopkins for the Ethical & Responsible AI University Collaborative to explore how academic institutions can guide AI development

After designating 2024 the “Year of AI,” The University of Texas at Austin had a record-breaking year in its efforts related to research, education and service involving artificial intelligence.

Good Systems' "Being Watched" project is tackling the ethical challenges of smart city surveillance by balancing public safety, privacy and equity through innovative frameworks and community-focused solutions.

Austin Mayor Kirk Watson discusses how the city is exploring and deploying various AI technologies. Good Systems is a key partner in many of these endeavors, including the development of smart hand tools that might be useful to City of Austin workers, the use of digital twins to aid real-time fire tracking and smoke analysis, and the development of standards and guidelines that help ensure the city utilizes AI ethically and responsibly.

The University of Texas’ Speedway Mall was taken over Friday afternoon by parading robots, a mariachi band and community members flashing pictures in the culminating event of UT’s “Year of AI.”

Researchers from Good Systems' Information Integrity core project are hard at work building tools to combat the deleterious effects of mis- and disinformation, which, thanks to AI, now spreads faster and more convincingly than ever before.

From generating research questions to analyzing data to running simulations, AI could affect every aspect of the scientific process, but experts like Good Systems' Matt Lease say accuracy and sustainability should be part of the conversation.