If you’ve ever contemplated AI's messy reality and political nature, the interplay of technology with society and the impact of AI on democracy, we have a conversation for you. As AI rapidly expands, it has sparked numerous discussions and debates. One theory is that AI is inherently political. This viewpoint
In today's world, data-driven systems make significant decisions across industries. While these systems can bring many benefits, they can also foster distrust by obscuring how decisions are made. Therefore, transparency within data driven systems is critical to responsible innovation. Transparency requires clear, explainable communication. Since transparency helps people understand how
Generative AI (GenAI) is a category of AI that can create new content, including video, audio, images and text. GenAI has the potential to change the way we approach content creation. It’s gotten much attention lately. Take ChatGPT for example. The AI chatbot has captivated the public’s imagination with clever
In this post, Ajay Agrawal, professor at Toronto's Rotman School of Management, discusses the challenges of unlocking the full potential of AI and ML for businesses and banks. Agrawal explains how the taxi industry in London, UK provides a cautionary tale of the potential impediments to driving value from AI,
Responsible innovation is critical because technology does not exist in a vacuum. It affects us all in unexpected ways. We know analytics has an undeniable impact on society. For example, analytics can help hospitals manage their inventories for essential items like wheelchairs and bladder scanners, help sports teams curate a
One of the reasons I got involved with the trustworthy AI movement is because automated systems enabled by our past will hurt people – at scale – if we aren’t careful. Worse yet, and from a personal perspective, it concerned me that if such systems were deployed in justice and
I’ve spent months traveling and speaking to business leaders worldwide about trustworthy AI and responsible innovation. On the nights I laid awake in unfamiliar hotel rooms, wishing my body clock would adjust faster than it was, I found joy in watching local television in local languages. While I don’t understand
More digital channels are bringing greater connectivity and more data is bringing added complexity to organizations. All this can feel chaotic or like a fog of information warfare. As a result, the pace of disruption and data expansion require visual tools that accelerate data wrangling and modeling. To overcome complexity,
As head of the SAS Data Ethics Practice, I spend a lot of time contemplating the social implications of AI. Considering its benefits like augmenting medical decisions and pitfalls, making decisions based on biased data results in dire consequences for patients. Such implications have the potential to impact society in a variety
Students at North Carolina State University completed design projects yielding striking visuals, purpose and functionality without unethical design characteristics. If you were to design the ultimate vacation home, you would most certainly consider options and features that speak to your individual preferences and style. It turns out that same inclination
We hear a lot about responsible AI or AI ethics in the marketplace today. At SAS, we believe there should be a larger conversation about responsible innovation. In reality, the decisions made by AI are the outcome of algorithms, data and business processes. This means ethical considerations must be applied
