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2. Explainable artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Explainable_artificial...

   Artificial intelligence. Explainable AI ( XAI ), often overlapping with interpretable AI, or explainable machine learning ( XML ), either refers to an artificial intelligence (AI) system over which it is possible for humans to retain intellectual oversight, or refers to the methods to achieve this. [ 1][ 2] The main focus is usually on the ...

3. Anthropic's quest for better, more explainable AI attracts ...

   techcrunch.com/2022/04/29/anthropics-quest-for...

   Less than a year ago, Anthropic was founded by former OpenAI VP of research Dario Amodei, intending to perform research in the public interest on making AI more reliable and explainable. Its $124 ...

4. Right to explanation - Wikipedia

   en.wikipedia.org/wiki/Right_to_explanation

   Right to explanation. In the regulation of algorithms, particularly artificial intelligence and its subfield of machine learning, a right to explanation (or right to an explanation) is a right to be given an explanation for an output of the algorithm. Such rights primarily refer to individual rights to be given an explanation for decisions that ...

5. Ethics of artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Ethics_of_artificial...

   This has led to advocacy and in some jurisdictions legal requirements for explainable artificial intelligence. [68] Explainable artificial intelligence encompasses both explainability and interpretability, with explainability relating to summarizing neural network behavior and building user confidence, while interpretability is defined as the ...

6. OpenAI's new tool attempts to explain language models ...

   techcrunch.com/2023/05/09/openais-new-tool...

   OpenAI’s tool exploits this setup to break models down into their individual pieces. First, the tool runs text sequences through the model being evaluated and waits for cases where a particular ...

7. DatologyAI is building tech to automatically curate AI ...

   techcrunch.com/2024/02/22/datologyai-is-building...

   DatologyAI’s also able to determine which “concepts” within a dataset — for example, concepts related to U.S. history in an educational chatbot training set — are more complex and ...

8. In 2017, society started taking AI bias seriously - Engadget

   www.engadget.com/2017-12-21-algorithmic-bias-in...

   First, an AI is only as good as the training data fed into it. Data that is already riddled with bias -- like texts that associate women with nurses and men with doctors -- will create a bias in ...

9. Neuro-symbolic AI - Wikipedia

   en.wikipedia.org/wiki/Neuro-symbolic_AI

   Neuro-symbolic AI is a type of artificial intelligence that integrates neural and symbolic AI architectures to address the weaknesses of each, providing a robust AI capable of reasoning, learning, and cognitive modeling. As argued by Leslie Valiant [1] and others, [2] [3] the effective construction of rich computational cognitive models demands ...