When putting together your Ethical and Responsible AI Framework it’s important to remember that it needs to be actually implemented. Why spend all this time and resources to put together a framework just to let it sit on a shelf untouched. Remember: Ethical & Responsible AI is something you do, not a statement! In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer talk more about this topic and why it’s so important to actually do AI right which means doing ethical and responsible AI right as well. Continue reading AI Today Podcast: Ethical & Responsible AI Series: Ethical & Responsible AI is something you do, not a statement at Cognilytica.

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 hosts Kathleen Walch and Ron Schmelzer provide a high level overview on how to set up your organization for ethical and responsible AI success. Continue reading AI Today Podcast: Ethical & Responsible AI Series: Setting up your organization for ethical & responsible AI success at Cognilytica.

The pace of adoption for artificial intelligence (AI) and cognitive technologies continues unabated with widespread, worldwide, rapid adoption of AI and its various patterns. However with any transformative technology laws and regulations may be slow to catch up with the quickly changing technology. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss the global and regional impacts laws and regulations have related to data and AI. Continue reading AI Today Podcast: Ethical & Responsible AI Series: Impact of Emerging Laws and Regulations on AI at Cognilytica.

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? Continue reading AI Today Podcast: Ethical & Responsible AI Series: Explainable and Interpretable AI at Cognilytica.

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 episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss issues related to AI Auditability, Traceability, and System Control, why it’s important to be transparent with users, and what steps and controls you should have in place. Continue reading AI Today Podcast: Ethical & Responsible AI Series: AI Auditability, Traceability, and System Control at Cognilytica.

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 of that bias, and use of open systems. Continue reading AI Today Podcast: Ethical & Responsible AI Series: AI System Transparency at Cognilytica.

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 & Responsible AI Series: Disclosure & Consent including why it’s important to disclose to users they are interacting with an AI, why it’s important to be transparent with users, and what steps you should consider to have users provide consent. Continue reading AI Today Podcast: Ethical & Responsible AI Series: Disclosure & Consent at Cognilytica.

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 up to date on these topics, how they can impact your project, and additional factors that need to be taken into consideration when building trustworthy AI systems. Continue reading AI Today Podcast: Ethical & Responsible AI Series: AI & Data Privacy at Cognilytica.

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss issues that related to AI safety and security and why building trustworthy AI is critical for the success of the project. Continue reading AI Today Podcast: Ethical & Responsible AI Series: AI Safety & Security at Cognilytica.

Construction companies are increasingly using AI in a range of ways to tackle a number of challenges. From optimizing work schedules to improving workplace safety to keeping a secure watch on construction facilities, AI in the construction industry is already producing value. One such company, ALICE Technologies, is focused on a different challenge: scheduling. In this podcast hosts Kathleen Walch and Ron Schmelzer interview with René Morkos, CEO of ALICE Technologies and Adjunct Professor at Stanford. Continue reading AI Today Podcast: AI in Construction – Interview with René Morkos, CEO of ALICE Technologies at Cognilytica.