Heartbeat

SEPTEMBER 13, 2023

Source: ResearchGate Explainability refers to the ability to understand and evaluate the decisions and reasoning underlying the predictions from AI models (Castillo, 2021). Cynthia Rudin, a computer science professor at Duke University, emphasized the difference between interpretability and explainability. Russell, C. &

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Mlearning.ai

FEBRUARY 6, 2023

These issues are localized to OpenAI’s Text Classifier specifically and may not generalize to production-ready AI-Detectors in general. For example, Stanford received around 55,471 applications in 2021 [5]. This is why we need Explainable AI (XAI). My AI Safety Lecture for UT Effective Altruism. Nauta, R.v.

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ML @ CMU

MARCH 31, 2023

This blog post discusses the effectiveness of black-box model explanations in aiding end users to make decisions. However, while numerous explainable AI (XAI) methods have been developed, XAI has yet to deliver on this promise. the effect of ai explanations on complementary team performance. Plumb, G., & Talwalkar, A.

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ML @ CMU

MARCH 30, 2023

This blog post discusses the effectiveness of black-box model explanations in aiding end users to make decisions. However, while numerous explainable AI (XAI) methods have been developed, XAI has yet to deliver on this promise. the effect of ai explanations on complementary team performance. Plumb, G., & Talwalkar, A.

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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. It is important to choose an auditor that specializes in HR or Talent and trustworthy, explainable AI, and has RAII Certification and DAA digital accreditation.

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Mlearning.ai

FEBRUARY 7, 2023

Some of the posts, blogs, and articles dealing with this new phenomenom, well, really don’t deserve any attention. 1x: A nice prompt forcing the AI to interrupt itself while explaining AI alignment. ChatGPT is the first true foundation model for the mass-market. But some of them are genuinely interesting.

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The MLOps Blog

AUGUST 11, 2023

This blog will answer these questions by exploring the following: 1 What is pipeline architecture and design consideration, and what are the advantages of understanding it? The concept of Explainable AI revolves around developing models that offer inference results and a form of explanation detailing the process behind the prediction.

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