Unite.AI
OCTOBER 20, 2023
In addition, they can use group and individual fairness techniques to ensure that algorithms treat different groups and individuals fairly. Promote AI transparency and explainability: AI transparency means it is easy to understand how AI models work and make decisions.
IBM Journey to AI blog
APRIL 11, 2023
The new rules, which passed in December 2021 with enforcement , will require organizations that use algorithmic HR tools to conduct a yearly bias audit. This means that processes utilizing algorithmic AI and automation should be carefully scrutinized and tested for impact according to the specific regulations in each state, city, or locality.
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Kavita Ganesan
FEBRUARY 28, 2023
We’ve seen how the underlying data used by algorithms can impact model behaviors. EXPLAINABILITY AI explainability is the ability for AI systems to provide reasoning as to why they arrived at a particular decision, prediction, or suggestion. AI Ethics Series: What is AI Ethics
IBM Journey to AI blog
FEBRUARY 8, 2023
The True Cost of Noncompliance Responsible AI requires governance Despite good intentions and evolving technologies, achieving responsible AI can be challenging. AI requires AI governance , not after the fact but baked into AI strategy of your organization. So what is AI governance?
IBM Journey to AI blog
JUNE 28, 2023
Most individual omics informatics tools and algorithms focus on solving a specific problem, which is usually part of a large project. IBM delivers this to our business partners through Operating Model Transformation , Tech and Data/AI Strategy , AI at Scale and Genomics Data Architecture offerings.
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