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


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   


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


Kendra Leith, Associate Director for Research