NSF Workshop on Science of Safe AI
Glandt Forum, Singh Center for Nanotechnology 3205 Walnut Street, Philadelphia, PennsylvaniaTo learn more about this event, check out our page!
10 events found.
Jeremias Sulam (Johns Hopkins University): “From Data to Insights: Trustworthy Solutions for Imaging Problems”
Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United StatesAbstract: Extracting insights from imaging data used to be straightforward: every component of imaging systems was engineered by humans, the analysis and interpretation of the collected data was driven by […]
Lydia Zakynthinou (UC Berkeley): “Algorithmic Stability for Trustworthy Machine Learning and Statistics”
Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United StatesAbstract: Data-driven systems hold immense potential to positively impact society, but their reliability remains a challenge. Their outputs are often too brittle to changes in their training data, leaving them […]
Xiang Lisa Li (Stanford University): “Controlling Language Models”
Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United StatesAbstract: Controlling language models is key to unlocking their full potential and making them useful for downstream tasks. Successfully deploying these models often requires both task-specific customization and rigorous auditing […]
Virginia Smith (Carnegie Mellon University): “Getting Lost in ML Safety Vibes”
Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United StatesAbstract: Machine learning applications are increasingly reliant on black-box pretrained models. To ensure safe use of these models, techniques such as unlearning, guardrails, and watermarking have been proposed to curb […]
Matt Frederickson (Carnegie Mellon University): “Alignment and Control with Representation Engineering”
Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United StatesAbstract: Large Language Models (LLMs) are vulnerable to adversarial attacks, which bypass common safeguards put in place to prevent these models from generating harmful output. Notably, these attacks can be […]
Jiatao Gu (Apple/University of Pennsylvania): “Learning Reliable and Robust Generative Intelligence”
Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United StatesAbstract: Robust simulation and precise modeling of physical dynamics are essential for advancing perception, planning, and control in the development of generalist physical agents. In this talk, I will present […]
Duncan Watts (University of Pennsylvania): “Fake News, Echo Chambers, and Algorithms: A Data Science Perspective”
Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United StatesAbstract: American democracy has been undermined by an “infodemic” of fake news, coupled with the widespread segregation of consumers into ideologically homogenous echo chambers by inscrutable algorithms deployed by rapacious […]
Işil Dillig (University of Texas at Austin): “Neurosymbolic Program Synthesis: Bridging Perception and Reasoning in Real-World Applications”
Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United StatesAbstract: Neurosymbolic Program Synthesis (NSP) integrates neural networks and symbolic reasoning to tackle complex tasks requiring both perception and logical reasoning. This talk provides an overview of the NSP framework […]
NeuS’25 – 2nd Conference on Neurosymbolic Systems
Glandt Forum, Singh Center for Nanotechnology 3205 Walnut Street, Philadelphia, PennsylvaniaTo learn more about this event, click the link!