Artificial Intelligence is paving the way to uncover a new reality that once existed only in our imagination. To get the best out of AI, one must be aware of the various biases that exist.
Bias can occur in the data used in AI algorithms; it can also happen in the design or implementation of the algorithms themselves or both.
Key takeaways from the white paper:
Classification of biases that exist in AI systems and the impact of each on decision making
Cognitive patterns that may affect how we select and manage data, and how it can corrupt the complex algorithms that analyze the data
Ways and guidelines to mitigate bias to improve the ROI of AI systems
