Public Interest Technology Night
Artificial intelligence is a system that can correctly interpret data, learn from it, and then use what it’s learned to adapt in order to achieve specific goals autonomously. AI can do things faster and better than humans, and we reap the rewards, but AI-based technologies also have the capacity to be harmful in ways we might not predict. Good Systems invites you to meet and network with UT researchers and Austin tech industry leaders as we attempt to answer the following: Can we ensure that AI advances are consistent with established standards so that they’re compatible with and responsive to society’s needs and values? And if so, how?
Join us for a panel discussion and Q&A followed by a reception with food and drinks. Register today.
Panelists will be announced soon.
More about Good Systems
We use artificial intelligence technologies to entertain us, communicate, get places faster, make predictions, swipe left or right, protect our homes, drive more safely, and solve complex problems quickly and easily. AI is changing the way we do everything because it’s everywhere — from dating apps to the most advanced military weapons systems.
So how can we ensure that AI is beneficial to humanity, not detrimental? How can we develop technology that makes life better for all of us, not just some?
Good Systems, launching this fall, is the third and final research grand challenge at The University of Texas at Austin. Grand challenges are “moonshot goals,” referring to President John F. Kennedy’s 1961 mandate to land humans on the moon. These challenges are audacious, risky, and might fail, but they attempt to tackle issues that are too important and urgent to ignore.
Our goal is to find a way to evaluate and design ethical AI technologies that protect and improve our world — then to share that process. To do this, our team brings students and researchers together from computer science, philosophy, engineering, information science, communications and journalism, business, and the arts. Each of these perspectives is needed as we think about what it means to be “good” and to envision a way to develop AI-based technologies that consider human values at their core.