Laure Thompson, who gave an AILA talk in 2021 1, is giving a Computational Social Science Institute talk on “Computational Humanities & Human-Centered Machine Learning” in the Computer Science Building at UMass on Friday, Nov. 4, 12-1:30pm, with lunch provided….
Category: Events
AI Tools Showcase and Hiring Info
May 12, 2022 Artificial Intelligence in the Liberal Arts (AILA) will exhibit AI tools, including some that can be used by anyone, regardless of experience. AILA job openings for the fall will also be discussed. Tools to be presented include the Amherst cluster computer, Microsoft Azure, Amazon Rekognition, Google Vision, and Artbreeder. Food from Black…
Dancing with Myself: Interdisciplinary Machine Learning Methods for Choreography (feat. Mariel Pettee)
A recording of the event can be found here: Kaltura, Youtube DATE & TIME: Monday, April 18, 5:00 – 6:00 PMLOCATION: Paino Lecture Hall In these years marked by physical distance, Dr. Pettee’s primary dance partner has been a machine learning (ML) model. Inspired by her applications of ML in the domain of high-energy particle physics during her PhD,…
Artificial Intelligence: A Guide for Thinking Humans (Feat. Melanie Mitchell)
Artificial intelligence has been described as “the new electricity”, poised to revolutionize human life and benefit society as much or more than electricity did 100 years ago. AI has also been described as “our biggest existential threat”, a technology that could “spell the end of the human race”. Should we welcome intelligent machines or fear them? Or perhaps question whether they are actually intelligent at all? In this talk, I will describe the current state of artificial intelligence, highlighting the field’s recent stunning achievements as well as its surprising failures. I will consider the ethical issues surrounding the increasing deployment of AI systems in all aspects of our society, and closely examine the prospects for imbuing computers with humanlike qualities….
Timnit Gebru UMass event via Zoom, March 22, 2022
This is a UMass event but I think that it will interest many at Amherst College as well, and relate to several AILA themes: Timnit Gebru UMass event 4. It will be on Zoom, but registration is required (via the link above). A video recording of the event is available here….
Machine Learning In Biomedical Research (feat. Dr. Jason Moore)
December 6, 2021 A recording of this talk can be found here. This TASTE (Talk About Science and Technology Experience) Seminar will feature Dr. Jason Moore, founding Chair of the Department of Computational Biomedicine at Cedars-Sinai Medical Center. He will be joining us for this exciting virtual event examining the expanding opportunities for the use of…
Making Robots Good People
Robots and AIs are increasingly involved in every facet of human life: transportation, warfare, criminal justice, medicine and, of course, social media and communication. And while in some cases they are promised to be better: fairer, more data driven, less prone to emotion, they often mirror back to us our own moral blindspots and biases. Perhaps we need to design AI systems that are not only good at their jobs but are, in a sense, good people – good moral agents. How should we go about doing that?…
Adversarial Intelligence (Feat: Una-May O’Reilly)
What do taxation, cyber networks, software and humans have in common? They each are vulnerable to adversarial conflicts. Taxation faces non-compliance, networks face attacks, software faces malware, and humans – among many vulnerabilities, are susceptible to disinformation. In this talk Dr. O’Reilly will describe work on Artificial Adversarial Intelligence (AAI), employing machine learning and evolutionary algorithms, to support the modeling and discovery of new knowledge of these systems’ adversarial nature….
AI and the Future of Your Mind (feat. Dr. Susan Schneider)
Humans may not be Earth’s most intelligent species for much longer: the world chess, Go, and Jeopardy! champions are now all AIs. Given the rapid pace of progress in AI, many predict that AI could advance to human-level intelligence within the next several decades. From there, it could quickly outpace human intelligence. What do these developments mean for the future of the mind?…
A Symbiotic Future For Machine Learning and the Humanities (feat. Laure Thompson)
Computational methods can help the humanities by making massive cultural heritage collections more explorable and analyzable. Machine learning and statistical methods provide an opportunity to view collections from alien, defamiliarized perspectives that can call into question the boundaries between established categories. But the converse is also true: the humanities have much to offer machine learning. The use of computational methods within humanities scholarship often tests and expands the affordances of these methods. The complexities and idiosyncrasies of humanities collections can improve our understanding of what models learn and how we might direct what they learn….