How to Solve AI Bias

Research output: Contribution to conferencePaper

93 Downloads (Pure)


Bias in AI is a topic that impacts machine learning and artificial intelligence technology that learns from datasets and its training data. While gender discrimination and chatbots showing bias have recently caught people’s attention and imagination, the overall area of how to correct and manage bias is in its infancy for business use. Further, little is known about how to solve bias in AI and how there could potent for malicious misuse at large scale. We explore this area and propose solutions to this problem.
Original languageEnglish
Number of pages7
Publication statusPublished - 17 Feb 2020
EventWomen in Tech - Bias in AI: Publicis Media Women in Tech: Bias in Algorithms - Television Centre, London, United Kingdom
Duration: 17 Feb 202017 Feb 2020


WorkshopWomen in Tech - Bias in AI
Country/TerritoryUnited Kingdom


  • Artificial intelligence
  • AI artificial intelligence
  • bias
  • Machine Learning
  • Algorithm and data structure visualization
  • Algorithms
  • ethics and politics
  • Ethics Committees, Research
  • ethics; socially responsible investment
  • testing methodology


Dive into the research topics of 'How to Solve AI Bias'. Together they form a unique fingerprint.

Cite this