Exploring Fairness in Machine Learning Convening at Ashesi University, Ghana, August 21 & 22

Participants at a NEXTi2i innovation ecosystem convening earlier this summer.
Participants at a NEXTi2i innovation ecosystem convening earlier this summer.
MIT D-Lab

 

MIT D-Lab announces a
Convening on Exploring Fairness in Machine Learning
on August 21 and 22, 2019 at Ashesi University in Berekuso, Greater Accra Region, Ghana!

DAY 1

Challenges and opportunities of identifying and addressing bias in Machine Learning (ML) in international development

8:00 am ..... Buses depart from Accra Mall
10:00 am ..... Welcome and Introductions: Ayorkor Korsah, Ashesi University
10:30 am ..... Introduction: Aubra Anthony, USAID Center for Digital Development
10:45 am ..... Keynote Speech - Nyalleng Moorosi, Google AI / CSIR                 
11:30 am ..... Talk - Why Fairness in Machine Learning is Important: Amit Gandhi, MIT
12:15 pm ..... Lunch            
1:30 pm ..... Panel – Ethical Implementation in On-going Projects
2:00 pm ..... Discussions – Challenges in Implementing Ethics
3:00 pm ..... Coffee break             
3:30 pm ..... Talk - Ethical Use Framework: Mike Teodorescu, Boston College & MIT
4:15 pm ..... Lightning Talks         
4:45 pm ..... Wrap-up                   
5:00 pm ..... Dinner   

DAY 2

How to apply these concepts to real-world projects

Workshop led by Amit Gandhi and Mike Teodorescu

  •     Case studies and techniques for implementing fairness into algorithms
  •     Activities to help participants identify potential sources of unfairness and bias in their data

Note: Space for Day 2 is limited.

Learn more about the event and register here!


More information

Fairness, Bias, and Appropriate Use of Machine Learning

Contact

Kendra Leith, Associate Director for Research