2022 Explainability Responsible AI 
Unite.AI
OCTOBER 20, 2023
In 2022, companies had an average of 3.8 AI models in production. Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency.
AWS Machine Learning Blog
NOVEMBER 29, 2023
These challenges include some that were common before generative AI, such as bias and explainability, and new ones unique to foundation models (FMs), including hallucination and toxicity. Guardrails drive consistency in how FMs on Amazon Bedrock respond to undesirable and harmful content within applications.
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Google Research AI blog
FEBRUARY 23, 2023
Commensurate with our mission to demonstrate these societal benefits , Google Research’s programs in applied machine learning (ML) have helped place Alphabet among the top five most impactful corporate research institutions in the health and life sciences publications on the Nature Impact Index in every year from 2019 through 2022.
Google Research AI blog
FEBRUARY 10, 2023
In 2022, we continued this journey, and advanced the state-of-the-art in several related areas. We also had a number of interesting results on graph neural networks (GNN) in 2022. Top Market algorithms and causal inference We also continued our research in improving online marketplaces in 2022.
IBM Journey to AI blog
OCTOBER 12, 2023
But the implementation of AI is only one piece of the puzzle. The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly.
Google Research AI blog
MAY 18, 2023
We continue to focus on making AI more understandable, interpretable, fun, and usable by more people around the world. It’s a mission that is particularly timely given the emergence of generative AI and chatbots. As an example of their utility, these methods recently won a SemEval competition to identify and explain sexism.
Unite.AI
AUGUST 25, 2023
One of the most significant issues highlighted is how the definition of responsible AI is always shifting, as societal values often do not remain consistent over time. Can focusing on Explainable AI (XAI) ever address this? For someone who is being falsely accused, explainability has a whole different meaning and urgency.
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