Remove how-do-you-define-unfair-bias-in-ai
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3 new steps in the data mining process to ensure trustworthy AI

IBM Big Data Hub

Sometimes as data scientists, we are often so determined to build a perfect model that we can unintentionally include human bias into our models. Often the bias creeps in through training data and then is amplified and embedded in the model. How does a data architecture impact your ability to build, scale and govern AI models?

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Continuous AI Adapts to a Changing World

DataRobot Blog

Over the past several years, AI has gone from obscurity to headline news but not always for the right reasons. While AI systems have matured from science experiments to vital business-as-usual tools, not every AI project lives up to the hype. The current generation of AI, called narrow AI, is based upon pattern recognition.

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6 generative AI hazards IT leaders should avoid

CIO Business Intelligence

OpenAI’s recent announcement of custom ChatGPT versions make it easier for every organization to use generative AI in more ways, but sometimes it’s better not to. Some of the most vocal complaints about generative AI have come from authors and artists unhappy at having their work used to train large language models (LLMs) without permission.

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Tackling Bias in Machine Learning

Insight

Bias in Machine Learning Algorithms (Bottom Photos Source: ProPublica ; Top Photos Source: Pexels.com) Biases in predictive modeling are a widespread issue Machine learning and AI applications are used across industries, from recommendation engines to self-driving cars and more. These groups have an automatic boost built-in.