Want a Functioning AI Model? Beware of Biased Data

In this special guest feature, Sinan Ozdemir, Director of Data Science at Directly, points out how algorithmic bias has been one of the most talked-about issues in AI for years, yet it remains one of the most persistent challenges in the field. Despite years of research into bias detection and mitigation strategies, it’s still easy for even the most sophisticated organizations to get into trouble for biased outcomes in their AI applications.