The latest from the intersection of machine learning, regulation, and risk.
The explosion of chatbot and generative AI use cases has caused organizations to look at the legal and business risks that they impose on terms, their employees, and their customers. We also explain more about how bias develops in high-risk models.
More and more decisions in our lives are being decided by algorithms - from whether or not we’re qualified for a job to what clothes we buy to the medical treatment we receive.
The importance of ensuring that automated decisions are fair and ethical is reaching a greater urgency. Most of us probably agree on that, yet how we address this task of assuring fair and ethical algorithmic decision-making remains a gray area. What does an ethical decision really mean?
Read this white paper for a deeper introduction to ML and AI for insurance, as well as risk management considerations when leveraging models with these use cases.
In this 10-15 minute read, we answer the following questions:
How do AI and ML models actually work?
What are AI and ML best suited to do? What are they less good at?
What risks and challenges do they create?
How ready are we to deploy AI and ML as a business?
How do AI and ML change our corporate risk profile – from reputational, legal, and compliance risks to strategic and operational risks?
via Techopedia - The need for Responsible AI is undisputed, but implementing it is challenging. Techopedia brought together the following leaders to discuss how and why organizations are adopting Responsible AI as a governance framework:
via Tech Policy - In the height of conversations about ChatGPT and generative AI, our colleagues at WilmerHale provided this comprehensive list of what businesses need to consider for their own business, for their customers, and within their partnerships.
Contact us if you'll be at the following events. We'd love to meet you.
March 23, 2023 - Tennessee HIMSS Chapter SUMMIT23. Franklin Marriott Cool Springs, Franklin, TN.Anthony Habayeb, CEO and Co-Founder of Monitaur will join leaders from Azra AI, Lirio, and Decode Health for a discussion about breakthroughs and barriers in AI and healthcare. More info >>
April 16-18, 2023 - The IRES Foundation’s National School on Market Regulation Hilton Head Island, SC. More info >>
