Hinda Haned

Fair, Transparent and Accountable Data Science


  • From research to application in data science teams ICAI entrepreneurship day, June 2022, ICAI entrepreneurship day, June 2022
  • Debiasing AI in the wild Women who code, May 2022, Slides
  • Ask me anything session WomENcourage, September 2021
  • Talk: A practitioner’s perspective on mitigating AI bias, WiDS - The Netherlands, March 2021
  • Talk: Defining and mitigation algorithmic bias Amsterdam Business Club, January 2021, Video, Slides
  • Launch of the Civic AI lab July 2020
  • Talk: Making AI Fair in Practice: A Practitioner's Perspective in practice ADS webinar with the municipality of Amsterdam April 14th 2020
  • My student Ana Lucic (ILPS/UvA) won the Best Student Paper Award (CS) at the FAT*2020 conference for our paper with M. de Rijke: Why Does My Model Fail? Contrastive Local Explanations for Retail Forecasting. The paper can be found here
  • Talk: On the challenges of bringing explainable AI to practice ADS Drinks & Data: ADS Meets CIDR January 15th 2020
  • Talk: Fairness in AI: a practitioner's perspective FACT-AI course, AI masters, UvA January 7th 2020
  • Making AI fair and accountable: challenges and emerging solutions Super day 2019 December 17th 2019
  • Talk: AI for social good Amsterdam Data Science Highlight Event Five Year Anniversary, December 12th 2019
  • Talk: Fair and accountable AI Transparante Algoritmes voor Beter Beleid The Hague, November 28th 2019
  • On October 16th 2019, I gave my Inaugural lecture on Fair, Transparent and accountable Data Science , at the Aula in Amsterdam. Slides can be found here.
  • Talk: Forecasting without big data , bol.com Forecasting meetup, March 2019 slides