When working on your ethical and responsible AI framework you should not overlook the roles, boards, and committees that will need to be put in place to ensure that the framework is actually implemented and updated as needed for overall AI project success for the long term. In this episode of the AI Today podcast …
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 …
AI Today Podcast: Ethical & Responsible AI Series: Explainable and Interpretable AI Read More »
In order to have people use AI systems they need to feel that they can trust these systems. That includes putting measures in place around AI Auditability, Traceability, and System Control. But what exactly does that mean and how do you do this in the context of your Ethical and Responsible AI Framework? In this …
When building Ethical and Responsible AI systems it’s important to think about AI System Transparency. These are ethical principles that focus on giving human users as much visibility into overall system behavior, including issues of visibility into data and AI configuration, appropriate disclosure and user consent, means for gaining visibility into bias and potential mitigation …
AI Today Podcast: Ethical & Responsible AI Series: AI System Transparency Read More »
In order to have people use AI systems they need to feel that they can trust these systems. That includes when they system provides an answer they may not want to hear. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss issues related to AI Today Podcast: Ethical & …
AI Today Podcast: Ethical & Responsible AI Series: Disclosure & Consent Read More »
If data is the heart of AI, then it should come as no surprise that data privacy plays a big role in building ethical and responsible AI systems. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss issues related to AI and data privacy, why it’s important to stay …
AI Today Podcast: Ethical & Responsible AI Series: AI & Data Privacy Read More »
Organizations are increasingly making use of AI systems to power their operations and enable a wide range of applications from the trivial to the mission-critical. As a result it’s more important than ever to understand the many complex issues related to AI and Data fairness and bias. In this Ethical and Responsible AI Series hosts …
AI Today Podcast: Ethical & Responsible AI Series: AI & Data Fairness & Bias Read More »
Organizations are increasingly making use of AI systems to power their operations and enable a wide range of applications from the trivial to the mission-critical. Many of the concepts of AI ethics generally revolve around the set of what is “right” vs “wrong” with regards to intelligent systems. However, the sort of ethical concepts that …
This podcast episode provides a snippet of Cognilytica’s AI and ML education from our Cognilytica Education Subscription. For AI to have a lasting positive impact it must be done responsibly. In our education we go into great detail explaining and breaking down AI, including fundamentals of AI including terms and concepts of AI and how …
AI Today Podcast: AI Education Series: Ethical & Responsible AI Read More »
Many companies are trying to adopt AI at their organization. However, it’s important to have the right mindset and methodologies in place when adopting a transformative technology. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Sagar Indurkhya who is Head of NLP at Virtualitics. He shares with us …
AI Today Podcast: Interview with Sagar Indurkhya, Head of NLP at Virtualitics Read More »
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