How to deal with bias in Artificial Intelligence models?

How to deal with bias in Artificial Intelligence models?

  • 2023-01-26
  • Maciej Szczerba

„AI will die, but data will remain”, said Marijn Markus, as the final point in our discussion about bias in artificial intelligence. What is common and what distinguishes credit rankings and the city of Amsterdam in terms of dealing with data and AI algorithms?

To talk about challenges in the domain of bias in AI, I invited fantastic guests:

Elsa Sklavounou, an expert on Natural Language Processing (NLP), a researcher in the area of linguistics and computational linguistics (Ph.D.), VP of AI Alliances, Global Partnerships - Content Technology at RWS Group, Marijn Markus, AI Lead, data scientist, public speaker and thought leader, Managing Consultant at Capgemini, Matt Fornito, AI transformation advisor to Fortune 500 companies, a keynote speaker and thought leader, Chief Data Officer at revenue.io

In the fifteenth episode of Sherpa Search on Tech, we discuss:

  • What makes Artificial Intelligence biased? Data, algorithms or people?
  • How can we bring inclusivity into artificial intelligence? How can we make AI more beneficial for society? 
  • A need to look at data collected from a different point of view to get a more holistic view. 
  • What is bias and how do they arise?
  • Are big data sets better for creating AI models? 
  • The role of data scientists in the decision-making process, what model they need to apply. 
  • Do we really need tons of data collection?
  • How can we deal with a diversity of data, and what actions do we need to take?
  • What do we want to achieve with the use of AI, do we want AI to reproduce reality or rather teach us something? What is the real „science” part of data science?
  • Bias is everyone’s problem because every company will be one day a data-driven business
  • Global and local perception of data and discrepancies between the US and Europa
  • Insights on regulating Artificial Intelligence 
  • ChatGPT

Book recommendations I highly recommend this talk!

Links:

Maciej Szczerba on Linkedin 

Elsa Sklavounou on Linkedin 

Marijn Markus on Linkedin 

Matt Fornito on Linkedin 

Listen to the episode and subscribe to Sherpa Search on Tech on your favourite platform:

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maciej.szczerba@sherpasearch.tech

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