
explainX.ai
47 posts

explainX.ai
@explainx
explainX aims to make AI models understandable and explainable to bring transparency, remove biases and help businesses generate maximum value from their AI.











Catch Prema Varadhan, Chief Product Architect and Head of AI at Temenos, on @Finextra TV as she discusses how banks are looking to Explainable AI (#XAI) to address urgent governance demands & gain competitive advantage. finextra.com/videoarticle/2…

The increased popularity of opaque ML models has led to the development of a thriving field of model explainability research and practice. Hear from experts and researchers on emerging ideas and the current state of the field! Register below: buff.ly/3f923wi

When people talk about "unintended consequences," says @png_marie, it sounds like they're saying the consequences couldn't have been predicted. But AI's unintended consequences are in fact highly predictable if you just look back at history. technologyreview.com/2020/07/31/100…






