Webinar: Why monitoring is critical to successful AI deployments

Even as AI provides significant benefits – like creating new revenue opportunities, increasing productivity, decreasing costs, and fostering innovation in outdated business models – there is a big potential for unintentional errors from outcomes that are unclear, biased and non-compliant. Companies often realize AI and ML performance issues after the damage has been done, which … Continue reading “Webinar: Why monitoring is critical to successful AI deployments”

Explainable AI Podcast: Founder of AIEthicist.org, Merve Hickok, explains the importance of ethical AI and its future

We recently chatted with Merve Hickok, Founder of AIEthicist.org and Lighthouse Career Consulting. Take a listen to the podcast below or read the transcript. (Transcript lightly edited for clarity.) Listen to all the Explainable AI Podcasts here Fiddler: Welcome to the Fiddler Explainable AI podcast. My name is Anusha Sethuraman. Today I have with me Merve Hickok, … Continue reading “Explainable AI Podcast: Founder of AIEthicist.org, Merve Hickok, explains the importance of ethical AI and its future”

The Next Generation of AI: Explainable AI

For most businesses, decisions — from creating marketing taglines to which merger or acquisition to approve — are made solely by humans using instinct, expertise, and understanding built through years of experience. However, these decisions were invariably susceptible to the nuances of human nature: decisions included bias, stereotypes and inconsistent influences. And while humans eventually … Continue reading “The Next Generation of AI: Explainable AI”

Responsible AI With Model Risk Management

The desire among financial institutions to better mitigate risk gained renewed prominence as a result of the financial crisis of 2008. Subsequent regulatory and governance requirements fostered interest in risk modeling and sophisticated forecasting based on artificial intelligence (AI) to improve outcomes. It now seems common to have AI-driven models supporting decision making related to … Continue reading “Responsible AI With Model Risk Management”

CIO outlook 2020: Building an explainable AI strategy for your company

Building an AI strategy needs to include explainability for complete visibility into machine-generated decisions. Explainable AI ensures there’s a human present in the loop of the AI process, where the machine provides transparent and reliable explanations, and the human can correct the machine in cases where its decisions are wrong. The sooner such an AI … Continue reading “CIO outlook 2020: Building an explainable AI strategy for your company”