Tag: data ethics

Artificial Intelligence
Vrushali Sawant 0
3 attributes of human centricity in trustworthy AI development

AI tools should, ideally, prioritize human well-being, agency and equity, steering clear of harmful consequences. Across various industries, AI is instrumental in solving many challenging problems, such as enhancing tumor assessments in cancer treatment or utilizing natural language processing in banking for customer-centric transformation. The application of AI is also

Data Management | Innovation | Predictions
Vrushali Sawant 0
3 industries set to benefit from ethical synthetic data generation in 2024

In 2024, we will witness the proliferation of synthetic data across industries. In 2023, companies experimented with foundational models, and this trend will continue. Organizations see it as an emerging force to reshape industries and change lives. However, the ethical implications can't be overlooked. Let’s explore some industries I think

Analytics | Artificial Intelligence
Reggie Townsend 0
Striking the balance: Navigating the pitfalls of AI technocentrism

Embracing AI is wonderful. From a practical business perspective, though, there are limits. This issue is broader than AI. However, I’ll constrain the conversation to that for now, given the attention AI is getting these days. Yes, some processes are undoubtedly good candidates for automation, but avoiding “technocentrism” is critical to

Analytics
Kristi Boyd 0
Trustworthy AI: 3 reasons we need it now

Who is responsible for ensuring that new AI technologies are fair and ethical? Does that responsibility land on AI developers? On innovators? On CEOs? Or is the responsibility more widespread? At SAS, we believe that it is everyone’s duty to innovate responsibly with AI. We believe that adhering to trustworthy

Analytics
Vrushali Sawant 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

Analytics | Artificial Intelligence | Equity and Responsibility | Innovation
Kristi Boyd 0
Generative AI: Benefits, risks and a framework for responsible innovation

Generative AI (GAI) is a category of AI that can create new content, including video, audio, images and text. GAI 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

Artificial Intelligence | Data for Good | Learn SAS
Reggie Townsend 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

Jim Harris 0
The ethics of algorithmic regulation

In my last three posts on data ethics, I explored a few of the ethical dilemmas in our data-driven world. From examining the ethical practices of free internet service providers to the problem of high-frequency trading, I’ve come to realize the depth and complexity of these issues. Anyone who's aware of these

Jim Harris 0
The low ethics of high-frequency trading

Imagine if your ability to feed your family depended upon how fast you could run. Imagine the aisles of your grocery store as lanes on a running track. If you can outrun your fellow shoppers, grab food off the shelves and race through the checkout at the finish line, then

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