ONLINE ONLY - Artificial Intelligence and Disability/Dependency: Equity, Access, and Interdependence

Date: 

Tuesday, March 24, 2020, 1:00pm to 5:00pm

Location: 

Milstein West, Wasserstein Hall, Harvard Law School

On 3/11, this event moved to online only. More details can be found below.

As of 3/10, this event is still slated to happen. Please see below for more details.

Online Viewing

In light of the rapidly developing COVID-19 outbreaks, Harvard University has restricted on-campus events. As a result, we will not be allowing in-person attendance at this event. Instead, the event will be available for viewing online. To ensure that you will receive access to the livestream and be kept up to date on any changes to the event, register now. We will send out a link to the livestream of the event to all registrants three days before the conference.

Hosting events, even ones that are largely virtual, is a constantly moving target these days and we appreciate your patience and flexibility as we fine tune our approach. In the meantime, we hope you all stay well.

 

--------

This event will highlight the challenges and opportunities in harnessing artificial intelligence (AI) technologies to serve the needs of individuals with disabilities and dependencies. AI can improve the lives of people with disabilities, such smart devices supporting people with physical disabilities or sight loss. On the other hand, AI outputs can also reflect discriminatory biases present in the underlying data used to develop the algorithms. While this “garbage in, garbage out” principle is well documented in respect to AI and gender or race, it is understudied in respect to disability or dependencies.

You can find full details here: Artificial Intelligence and Disability/Dependency: Equity, Access, and Interdependence.

Co-sponsored by the Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics at Harvard Law School; the Harvard Law School Project on Disability (HPOD); the Regenstrief Institute; and the Presence at the Stanford University School of Medicine. Support provided by the Oswald DeN. Cammann Fund at Harvard University.