Bias in AI and Machine Learning Models

AI systems and algorithms are trained and modeled and validated by humans on the data generated by humans or sensors or other automated systems. This poses challenge and risk of introducing human bias into the models, though many of us assume the AI systems are unbiased. As we are marching towards 2021 and making significant progress towards more sophisticated algorithms and models, we should also consider reducing bias in AI. Without managing bias, any AI initiative may fall apart due to the lack of trust and confidence by CEOs and leadership. In this session, we will be discussing some of the ethical and trust issues of AI systems due to AI Bias, and how organizations can model and validate AI systems and algorithms to reduce AI Bias.