DEEP 2020 is digging deeper—remotely!
This year the conversations are coming to you, wherever you are. We are going online with We Count Digging DEEPer Series activities and events from October 2020 to October 2021 (yes a whole year!). Visit the Event page for the full schedule and check back often for updates and news. We look forward to “seeing” you at this year’s Digging DEEPer events.
Future of Work and Disability Webinar
On November 17, 1:30 PM to 3 PM, join us for a discussion on Identifying and Addressing Bias in Machine Learning Models on Selection of Candidates from a Policy Perspective. Panelist Alexandra Reed Givens will discuss how machine learning models can carry bias on selecting candidates, affecting persons with disabilities and other individual differences. Registration Form
Introduction to Coding to Learn and Create project
On November 18, and 25, 2020 from 2 PM to 3 PM (EST), Learn how Coding to Learn and Create is working to empower all learners to be creators of their digital worlds, to express themselves using code and art, and to apply these skills to other areas of learning and daily life. Not just learning to code, but coding to learn and create.
AI and Machine Learning and Employment Systems: Impact on People with lived experience of disabiltiy
On November 3, 10:30 AM to 12 PM (EST), Future of Work and Disability hosted an introduction to AI and Machine Learning with a focus on concerns for persons with disabilities and employment with an amazing panel:
- Chancey Fleet, Data Society
- Anhong Guo, U Michigan
- Ben Tamblyn, Microsoft
- Shari Trewin, IBM
- Future of Work Study Group Members
Dr. Roger Melko discusses We Count workshop findings in live webinar
We officially kick off this year’s DEEPer Series on October 21 with AI-Powered Mobile Assistive Technology Apps: Risks & Benefits, a conversation with Dr. Roger Melko where participants from the Risks and Benefits workshop will discuss their findings with guest speaker Dr. Roger Melko as a further exploration of the intersection of assistive technologies and artificial intelligence.
Machine Learning Discrimination: Bias In, Bias Out
On July 8th, Toon Calders (University of Antwerp) helped to kick-off the Digging DEEPer series.
Artificial intelligence is more and more responsible for decisions that have a huge impact on our lives. But predictions made using data mining and algorithms can affect population subgroups differently. Academic researchers and journalists have shown that decisions taken by predictive algorithms sometimes lead to biased outcomes, reproducing inequalities already present in society. Is it possible to make a fairness-aware data mining process? Are algorithms biased because people are too? Or is it how machine learning works at the most fundamental level?
Date: July 8, 2020
Check out the event video and earn We Count microbadges
We’re planning the 9th Annual DEEP 2020 Conference!
Have a look at our collaborative notes from the May 19th DEEP Vision meeting.
To access the transcript and slides from the meeting, you can visit the link to the IDRC’s community workshops. You will find DEEP 2020 brainstorming under the Past workshop schedule: https://wiki.fluidproject.org/display/fluid/Community+workshops