In my previous article, “The Vital Ingredients of Responsible AI,” I described the principles that underpin the need to develop AI systems that factor in the human factor, not only contribute to business outcomes but also protect individuals, society and the environment. While it’s difficult to argue with those principles,
In my previous article, “The Business Imperative for Responsible AI," I covered the main business drivers for responsible AI. Beyond the greater good and social responsibility, responsible AI is emerging as a key factor for successful AI adoption. In this article, I will describe the main ingredients of responsible AI:
Melhorar a vida das pessoas com base em dados, é um dos nossos principais objetivos no SAS. É neste sentido, que uma das categorias dos Curiosity Data Science Iberian Awards, que organizámos este ano pela primeira vez em conjunto com a SPAIN IA e a Data Science Portuguese Association (DSPA),
If my experience is anything to go by, there’s a sizeable number of customers that still have SAS workloads running on IBM mainframes. Now I have tremendous respect for S/390 (I can still navigate TSO/ISPF et al. and started my IT career programming in PL/AS on MVS and VM), but
With the steep rise of artificial intelligence (AI) adoption across all facets of society, ethics is proving to be the new frontier of technology. Public awareness, press scrutiny and upcoming regulations are forcing organizations and the data science community to consider the ethical implications of using AI. The need for
By Adam Goldsmith, Insurance Specialist, SAS UK & Ireland Insurers have the near-impossible task of keeping customers satisfied with the service they're given whilst ensuring costs are controlled to ensure profitability. At the point a customer makes a claim, it is at a point of high stress and emotion, but
"Now what? Responsible artificial intelligence (AI)? You're probably going to tell me that this is going to interfere with how I go about AI." Yes, I am. There's a whole list of nations coming up with strategies on AI. Check out this world map where each colored country is having a
Caroline Payne, Head of Customer Advisory, SAS UK Public Sector Team Digital innovation across governments around the world has accelerated in the last 18 months as leaders turn to data and technology to deliver rapid responses to the pandemic. Public organisations have had to move quickly, whilst being acutely aware
Actuarial practice has always been analytical—so how much is advanced analytics disrupting this element of insurance? We discussed this issue in a recent #SASchat. The importance of competitive pricing Analytics is now being used in more and more areas in insurance, and particularly to tailor pricing more precisely to customers’
Im Gespräch mit Norbert Pieper, Sprecher für Versicherungsaufsicht bei der BaFin.
