Tag: data ethics

Innovation | SAS Events
Vrushali Sawant 0
What does AI built right look like? Five SAS Hackathon teams answer that question

Here's what separates responsible innovators from everyone else: they ask uncomfortable questions before they build, not after. At the SAS Hackathon, five teams proved this in practice. Working under real-world constraints and problem statements, they didn’t start with frameworks or compliance checklists. They started with three simple questions: For what

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Artificial Intelligence
Ally Miller 0
Responsible innovator spotlight: Sierra Shell on designing responsibly

Responsible innovation is more than a framework. It’s the discipline of building technology that earns trust. As AI becomes more capable and deeply embedded in business workflows, organizations must ensure that every decision, design choice, and workflow supports accountability, transparency and human-centered outcomes. The Responsible Innovator Spotlight is a new

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Advanced Analytics | Artificial Intelligence | SAS Events
Becky Graebe 0
On trust and responsible innovation: ‘Right now is an all-in moment’

Since AI is advancing faster than regulation and innovation is outpacing understanding, two principles must rise above the noise: trust and responsible innovation. That was the central message for industry leaders during another day of SAS Innovate 2025. Show host and recently named Chief Operating Officer Gavin Day said this

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Artificial Intelligence | Innovation
Iain Brown 0
Beyond the black box: How agentic AI is redefining explainability

Navigating the interpretability paradox of autonomous AI: Can we maintain trust and transparency without sacrificing performance? AI has rapidly evolved from simple, rule-based systems into sophisticated autonomous agents capable of making decisions without direct human oversight. These advanced systems, known as "agentic AI," go beyond basic automation to independently sense

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Analytics | Data Management | Predictions
Stu Bradley 0
Data privacy perspectives: How financial services firms can foster trust in the AI age

Every year, as Data Privacy Week sharpens the focus on protecting personal information, I’m reminded of a customer event a major North American bank hosted at SAS world headquarters. The bank’s chief data officer led a roundtable discussion on generative AI (GenAI) with a group of esteemed data and AI experts. The

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Banking
Artificial Intelligence | Predictions
Kristi Boyd 0
Navigating AI ethics in manufacturing and agriculture: Balancing innovation with responsibility

As we move into 2025, AI continues to transform industries in unprecedented ways, driving efficiency, innovation, and productivity. But with this rapid advancement come critical ethical questions. How can we ensure that AI systems protect the rights and well-being of individuals?  Manufacturing and agriculture are two essential industries where answering

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AgTech | Manufacturing
Artificial Intelligence | Predictions
Lisa Murch 0
Transforming cancer care with radiomics: The future depends on data sharing

A woman arrives at the emergency room with chest pain. She immediately receives an x-ray. While the radiologist looks at the image, her AI assistant flags anomalies in the patient’s lungs – invisible without the technology. The chest pain turns out to be benign, but sophisticated imaging reveals early-stage lung

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Health Care | Life Sciences
Artificial Intelligence | Risk Management
Kristi Boyd 0
Understanding AI governance

AI governance is an all-encompassing strategy that establishes oversight, ensures compliance and develops consistent operations and infrastructure within an organization. It also fosters a human-centric culture.   This strategy includes specific governance domains such as data governance and model governance, necessary for a unified AI approach. Why AI governance matters  The

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