Upcoming Events

Upcoming Events

September 2020

AI Cures Conference: Data-driven Clinical Solutions for COVID-19

September 29 at 9 am–1 pm EST (online)
Learn more and register

Applications of AI for the prevention, diagnosis and treatment of diseases is an active area of research and commercial activity. The on-going public health crisis caused by COVID-19 provides ample opportunities for leveraging these emerging technologies. Large amounts of data pertaining to all aspects of the disease are collected continuously, at the level of individual patients, hospitals and countries. The open question is whether this data was translated into better treatment plans, more effective disease detection, or greater intervention policies. At this conference, we are aiming to answer this question by bringing together AI researchers who develop novel methods targeting COVID-19 and clinicians who utilize them in patient care.

Presented by: Jameel Clinic, MIT Schwarzman College of Computing and IMES

Dertouzos Distinguished Lecture: Senator Ron Wyden

September 30 at 4–5 pm EST (online)
Learn more and register

Oregon Senator Ron Wyden was elected to the U.S. Senate in 1996. Wyden has consistently pushed for smart tech policies that put users – not powerful corporations – first. Wyden coauthored the bipartisan Section 230 of the Communications Decency Act, wrote the first net neutrality bill and has defended strong encryption against threats from short-sighted government officials. Wyden, a fierce advocate for strong data privacy protections, last fall introduced the most comprehensive bill to protect Americans’ personal details online, the Mind Your Own Business Act. This sweeping piece of legislation would also hold corporate executives accountable for abusing personal information.

Presented by: MIT CSAIL and MIT Schwarzman College of Computing

October 2020

STEMM MIT CSAIL AI in Healthcare Summit

October 1–2 (online)
Learn more and register

Scientists, AI researchers, healthcare experts and business leaders will come together to discuss critical healthcare challenges, collaborate to minimize the damages, and find preventive measures. It is crucial now to drive the innovation and development of AI for good.

Covering the most relevant topics of AI in healthcare – including the ways in which AI is being used during the current pandemic – the AI in Healthcare Summit will be held online.

Presented by: MIT CSAIL and STEMM Global Scientific Community

Hot Topics in Computing: Computer Vision: Who is Harmed and Who Benefits?, Dr. Timnit Gebru

October 8 at 4–5pm EST (online)
Learn more

Computer vision has ceased to be a purely academic endeavor. From law enforcement, to border control, to employment, healthcare diagnostics, and assigning trust scores, computer vision systems are being rapidly integrated into all aspects of society. In research, there are works that purport to determine a person’s sexuality from their social network profile images, others that claim to classify “violent individuals” from drone footage. These works were published in high impact journals, and some were presented at workshops in top tier computer vision conferences such as CVPR.

A critical public discourse surrounding the use of computer-vision based technologies has also been mounting. For example, the use of facial recognition technologies by policing agencies has been heavily critiqued and, in response, companies such as Microsoft, Amazon, and IBM have pulled or paused their facial recognition software services. Gender Shades showed that commercial gender classification systems have high disparities in error rates by skin-type and gender, and other works discuss the harms caused by the mere existence of automatic gender recognition systems. Recent papers have also exposed shockingly racist and sexist labels in popular computer vision datasets--resulting in the removal of some. In this talk, I will highlight some of these issues and proposed solutions to mitigate bias, as well as how some of the proposed fixes could exacerbate the problem rather than mitigate it.

About the speaker:
Timnit Gebru is a senior research scientist at Google co-leading the Ethical Artificial Intelligence research team. Her work focuses on mitigating the potential negative impacts of machine learning based systems. Timnit is also the co-founder of Black in AI, a non profit supporting Black researchers and practitioners in artificial intelligence. Prior to this, she did a postdoc at Microsoft Research, New York City in the FATE (Fairness Transparency Accountability and Ethics in AI) group, where she studied algorithmic bias and the ethical implications underlying any data mining project. She received her PhD from the Stanford Artificial Intelligence Laboratory, studying computer vision under Fei-Fei Li. Prior to joining Fei-Fei's lab, she worked at Apple designing circuits and signal processing algorithms for various Apple products including the first iPad.

Presented by: MIT CSAIL and MIT Schwarzman College of Computing

MIT Policy Hackathon

October 23–25 (online)
Learn more and apply

Interested in the future of healthcare in light of COVID-19? Internet policy? Environmental justice? Join us in exploring these pressing challenges, and more, over the course of an exciting weekend at MIT!

MIT Policy Hackathon is a relatively new hackathon that aims to address relevant societal challenges via data and policy analysis. This hackathon allows participants to work in teams to develop creative policy solutions to problems posed by governmental and industry partners. Historically, hackathon participants have come from a wide range of backgrounds, from public policy to data science to engineering, and challenges have covered a diverse array of topics.

Presented by: MIT Institute for Data, Systems and Society and MIT Technology and Policy Program

November 2020

AI and the Work of the Future Congress 2020

November 18, 11 am–3 pm EST (online)
Learn more and register

This virtual gathering will feature the launch of the final report from the MIT Task Force on Work of the Future, highlighting research policy findings from across 25+ Task Force and Advisory Board members. Given the rapidly changing environment, nationally and globally, brought on by Covid-19, this topic is more important than ever. Satya Nadella, CEO of Microsoft, will join the Congress for a discussion with MIT Labor Economist David Autor. The conference will feature panels and Q&A with leading academics, business, education, labor and philanthropic leaders, as well as policy makers.

Join us to explore the important question – how can we create a future of work that complements and augments human potential while contributing to shared economic prosperity?

Presented by: MIT CSAIL, MIT Work of the Future and MIT Initiative on the Digital Economy