It sounds like he is equating explainability to trust. While trust is important, there is a lot more to XAI than just trust. A huge part of XAI is actionability--receiving guidance for what we might change in the data to get the outcomes that we want. While that might require some trust in the model, that's not the main point--we don't need the test of time to increase that kind of explainability. It is relevant right now. So, AI CAN be explained from that perspective.
Thank you for the talk. With the questions discussed it gives an opportunity to ponder and build some greatmental models around the concept. Also recommed this author's Future of AI set of lectures!
It sounds like he is equating explainability to trust. While trust is important, there is a lot more to XAI than just trust. A huge part of XAI is actionability--receiving guidance for what we might change in the data to get the outcomes that we want. While that might require some trust in the model, that's not the main point--we don't need the test of time to increase that kind of explainability. It is relevant right now. So, AI CAN be explained from that perspective.
I'd like to know if anything has changed from the last time he gave this talk or maybe what are his predictions for XAI in 2024.
Thank you for the talk. With the questions discussed it gives an opportunity to ponder and build some greatmental models around the concept. Also recommed this author's Future of AI set of lectures!
Thank you so much Artem!! :D
Wow it's empty 🤣🤣🤣
I meant the comment box