Search
Close this search box.

AI Today Podcast: Ethical & Responsible AI Series: Explainable and Interpretable AI

AI Today Podcasts - Ethical & Responsible AI Series_Explainable and Interpretable AI

Not all algorithms are explainable. So does that mean that it’s ok to not provide any explanation on how your AI system got to the decision it did if you’re using one of those “black box” algorithms? The answer should obviously be no. So, what do you do then when creating Ethical and Responsible AI systems to address this issue around explainable and interpretable AI? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss issues related to explainable and interpretable AI, especially in the context of your Ethical and Responsible AI framework development.

Show Notes:

Login Or Register

cropped-CogHeadLogo.png

Register to View Event

cropped-CogHeadLogo.png

Get The AI Today Podcast: Ethical & Responsible AI Series: Explainable and Interpretable AI

cropped-CogHeadLogo.png

AI Best Practices

Get the Step By Step Checklist for AI Projects

login

Login to register for events. Don’t have an account? Just register for an event and an account will be created for you!