Interpretable AI, algorithmic accountability, and AI ethics

What is interpretable machine learning?

    “Trust is more important than ever for businesses. Gaining the trust of your customers, partners, and the world at large is not only a competitive advantage but also the key to a successful and sustainable business model.

    When it comes to AI, trust and algorithmic transparency are more important than ever.”

    How can we make algorithms accountable for their decisions? How can we better explain how AI works in critical situations?

    It’s clear that as AI is playing a larger and larger role in our lives, we face situations where we need to explain how algorithms are making certain decisions. This is especially important in domains like law, medicine and autonomous vehicles.

    On this webinar we are talking about this very important topic.

    Watch the webinar here.

     We explain why we need explainable AI, some techniques that can be used for explainable AI and what decision makers can do in order to make sure their algorithms remain transparent.

    Make sure to check out our services and workshops, if you are interested to know how you can implement these techniques in your business.

    On this webinar we are talking about this very important topic.

    Watch the webinar here.

     We explain why we need explainable AI, some techniques that can be used for explainable AI and what decision makers can do in order to make sure their algorithms remain transparent.

    Make sure to check out our services and workshops, if you are interested to know how you can implement these techniques in your business.

     

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