Explainable AI Cheat Sheet - Five Key Categories

Intro (0:00)
One Explainability Motivation (0:58)
Explainable AI Cheat Sheet (2:39)
1. Interpretable Models (3:25)
2. Model-Agnostic Methods (4:26)
3. Model-Specific Methods (6:40)
4. Example-Based Methods (7:52)
5. Neural Representations (9:35)
Conclusion & Resources (12:13)

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The Explainable AI Cheat Sheet:

Resources:

[metallica]

Really appreciate these resources! Thanks for always explaining things so clearly!

[prasadjayanti]

I am a data scientist & really appreciate your work ! Keep good work going !

[devnul]

Thank you for what you have provided here! The links are providing tremendous added value to your videos.

[kartavyabhatt]

Thank you very much for the video.
9:57 yeah a dedicated video for each of the methods will be really great!

[chathurijayaweera]

Very informative and easily understandable. Thank you for making this video

[TusharKale]

Very important topic covered in good details. Thank you

[palomoshoeshoe]

Thank you so much for your contribution, i really appreciate it.

[TheSiddharthau]

Thank You for nice and easy information. I was looking for such information 👍

[sheldonsebastian]

Found this channel via Linkedin post. It was a good find!

[omyeues]

Very interesting ! Thank you for sharing

[jeanpauldelamarre]

Explainable AI is not only based on neural networks. Everyone wants to make neural networks explainable which is not the case by design. You also have to consider other types of models like rule based models (expert systems) or even probabilistic models which are explainable by design.

[kokoko]

Thank you for ur video it's really well organized and easy to understand

[its_me]

Now I think it would be great if Jay can make video on SHAP explanability and usage...hope you have time to accept this request.

[ottunrasheed]

Interesting content. I am looking forward to the paper reading videos

[mpalaourg]

Nice video! But even better the resources which were referenced! Thank you...

[Ninaadiaries]

Thanks for the information. It was helpful for me :)

[camoha]

Thanks for this video (love the john coltrane )

[MeriJ-zedd]

Thanks Jay. Amazing video. I have a question though: why the pretraining in gpt-3 is called unsupervised learning?it works on labelled data, so I think it should be a supervised learning task.

[muhammadomar]

Thanks for knowledge sharing. Where decision trees lie in cheat sheet?

[sanjanasuresh]

Hello! Can you please make a video on interpretability of unsupervised ML models