SAS Blogs

Tag: responsible innovation

Jerry WilliamsApril 21, 2023 0

AI and sustainability: Balancing innovation with environmental impact

Artificial Intelligence (AI) can drive environmental innovation (EI) in sustainability and reduction of carbon emissions. However, the use of AI itself also comes with environmental costs. The high computational requirements of AI-based systems lead to significant energy consumption, contributing to greenhouse gas emissions. The energy consumption of AI systems can

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Energy & Utilities

Analytics | Artificial Intelligence

Caslee SimsApril 3, 2023 0

Exploring the interplay of technology and society

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

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Analytics

Vrushali SawantMarch 30, 2023 0

The ethics of responsible innovation: Why transparency is key

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

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Analytics | Artificial Intelligence | Equity and Responsibility | Innovation

Kristi BoydMarch 3, 2023 0

Generative AI: Benefits, risks and a framework for responsible innovation

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

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Analytics | Artificial Intelligence

Alex CoopMarch 2, 2023 0

Unlocking the full potential of AI and ML for businesses and banks: Challenges and cautionary tales

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,

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Banking

Analytics

Vrushali SawantFebruary 22, 2023 0

Embedding responsible innovation: How SAS is leading the charge in ethical technology

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

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Analytics | Artificial Intelligence

Reggie TownsendFebruary 10, 2023 0

A call to action: Empowering minority populations in the AI revolution

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

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Artificial Intelligence

Reggie TownsendNovember 21, 2022 0

Harnessing our superpower: Creating a common vision for AI

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

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Analytics | Artificial Intelligence

Caslee SimsNovember 9, 2022 0

3 principles that emphasize productivity for your analytics platform

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,

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Artificial Intelligence | Data for Good | Learn SAS

Reggie TownsendAugust 8, 2022 0

Next generation of responsible AI innovators tackle real-world challenges with AI4ALL and SAS

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

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Education

Analytics

Becky GraebeMay 11, 2022 0

Exploring innovative modeling designs built to battle bias

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

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Education

Analytics | Artificial Intelligence | Cloud | Data for Good | Machine Learning

Bryan HarrisMay 5, 2022 0

Who is responsible when AI is irresponsible?

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

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