In my previous article, I discussed the importance of AI explainability and the different categories of AI explainability, explainable predictions, explainable algorithms and interpretable ...
In this contributed article, editorial consultant Jelani Harper discusses how the ModelOps movement either directly or indirectly addresses each of the following three potential barriers to cognitive ...
Artificial intelligence is seeing a massive amount of interest in healthcare, with scores of hospitals and health systems already have deployed the technology – more often than not on the ...
The key to enterprise-wide AI adoption is trust. Without transparency and explainability, organizations will find it difficult to implement success-driven AI initiatives. Interpretability doesn’t just ...
As enterprises shift from AI experimentation to scaled implementation, one principle will separate hype from impact: explainability. This evolution requires implementing 'responsible AI' frameworks ...
Would you blindly trust AI to make important decisions with personal, financial, safety, or security ramifications? Like most people, the answer is probably no, and instead, you’d want to know how it ...
Customers of artificial intelligence (AI) models may have certain rights under the Consumer Protection Act, Ajay Kumar, Partner at Triumvir Law, mentioned at MediaNama’s AI and Fintech event on April ...
Launching an AI initiative without a robust data strategy and governance framework is a risk many organizations underestimate. Most AI projects often stall, deliver poor...Read More The post Can Your ...
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