Blogs

Blogs

Tag: Trustworthy AI

Analytics

Jonathan MoranJune 27, 2024 0

3 reasons why marketers need SAS® for customer analytics

Customer analytics is becoming imperative for organizations that desire to create and provide personalized and satisfying customer experiences. To understand and anticipate customer needs, preferences and behaviors in a fast-moving marketplace, organizations must make sense of unstructured data, apply industry-specific data and analytics techniques, and optimize every customer-level decision and

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Artificial Intelligence | Risk Management

Kristi BoydJune 19, 2024 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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Artificial Intelligence | Equity and Responsibility | Risk Management

Franklin Manchester

Franklin ManchesterJune 10, 2024 0

How insurance companies can use synthetic data to fight bias

Stop bias in its tracks – learn about the value of synthetic data for insurance.

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Artificial Intelligence

Danielle BatesJune 6, 2024 0

Banking on GenAI: Wells Fargo leads a conversation on AI innovation

A recent SAS survey revealed that 80% of business leaders are anxious about GenAI's data privacy and security implications Owing to these and other concerns, Wells Fargo Chief Data Officer Brian Gibbons and an esteemed panel of AI experts, hosted by Wells Fargo Technology Banking, addressed an audience of the

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Analytics

Vrushali Sawant

Vrushali SawantMay 16, 2024 0

5 ethical questions to consider before making AI-driven decisions

So now you're ready to make decisions with your models. You’ve asked many questions along the way and should now understand what’s all at play. But how can you ensure these decisions are trustworthy and ethical? Transparency is crucial. Sharing the reasoning behind our choices in relationships, whether at home

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Analytics

Caslee SimsMay 7, 2024 0

Exploring generative AI's impact on ethics, data privacy and collaboration

Generative AI (GenAI) is booming. It’s not just a trend; it’s produced a seismic shift in how we approach innovation and technology. SAS Innovate 2024 has moved on from Las Vegas and is now on tour across the world. If you want a recap of what happened in Vegas or

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Artificial Intelligence

Davide PecchiaApril 29, 2024 0

Unleashing AI insights: 5 crucial questions for effective deployment

Deploying AI insights isn't just about pushing buttons and hoping for the best. The deployment phase is a pivotal moment where technology and ethics meet. When transitioning AI models from development to real-world use, prioritizing trustworthiness remains important. It’s not just about algorithms; it’s about how AI impacts people and

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SAS Events

Mark WoodApril 19, 2024 0

Focusing on trustworthy AI on day 2 of SAS Innovate 2024

Have you ever heard the saying, “Products that don’t perform won’t be trusted, and products that can’t be trusted aren’t worth the machines they’re coded on”? Maybe not, because I just made it up. But at SAS, as we continue to create products that perform and change the world, we

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Analytics

Steve MellgrenApril 11, 2024 0

5 key questions to ask when developing trustworthy AI models

They say trust is a delicate thing. It takes a long time to build trust. It’s easy to lose and hard to get back. Trust is built on consistent and ethical actions. Therefore, we must be intentional when creating AI models. It's crucial to ensure that trustworthiness is embedded

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Artificial Intelligence | Innovation

Greg WujekApril 9, 2024 0

How generative AI creates cross-channel harmony in pharmaceutical marketing

The days of one-size-fits-all messaging in the pharmaceutical industry are fading. Today's patients and health care providers (HCPs) expect personalized content across a variety of channels. This is where generative AI (GenAI) can really help execute cross-channel marketing. Reaching the right audience with the right message Imagine a world where

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Analytics | Artificial Intelligence | Innovation

Cindy TurnerApril 5, 2024 0

Can insurers use AI to earn trust while preparing for the future?

There's a lot to gain for insurers that move fast enough to adopt promising applications of trustworthy AI.

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Artificial Intelligence

Steve MellgrenMarch 19, 2024 0

Consider these questions when managing data during AI development

Trustworthy AI is dependent on a solid foundation of data. If you bake a cake with missing, expired or otherwise low-quality ingredients, it will result in a subpar dessert. The same holds for developing AI systems to handle large amounts of data. Data is at the heart of every AI

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Artificial Intelligence

Marinela ProfiMarch 14, 2024 0

The importance of data quality for large language models

Data quality is a cornerstone for integrating large language models (LLMs) into organizations. The adage "garbage in, garbage out" holds particularly true here. High-quality data is the lifeblood that ensures the accuracy, relevance, and reliability of the model's outputs. In a business context, this translates to insights and decisions that

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Artificial Intelligence

Vrushali Sawant

Vrushali SawantFebruary 28, 2024 0

Charting ethical excellence: Navigating the question phase of AI development

As organizations infuse trustworthy practices into the fabric of AI systems, remembering that trustworthiness should never be an afterthought is important. Pursuing trustworthy AI is not a distant destination but an ongoing journey that raises questions at every turn. For that, we have meticulously built an ethical and reliable AI

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Analytics

Marinela ProfiFebruary 6, 2024 0

3 organizational strategies for using large language models with confidence

Large language models (LLMs) are at the forefront of today’s AI, not merely as technological marvels but as transformative agents reshaping how businesses innovate, operate and deliver value. Think of them as the wizards of words, capable of understanding language and transforming it in ways that benefit organizations. However, as

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Artificial Intelligence | Data Management

Sophia RowlandJanuary 31, 2024 0

Embedding responsible AI best practices within the model lifecycle

The National Institute of Standards and Technology (NIST) has released a set of standards and best practices within their AI Risk Management Framework for building responsible AI systems. NIST sits under the U.S. Department of Commerce and their mission is to promote innovation and industrial competitiveness. NIST offers a portfolio

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Artificial Intelligence

Lindsey CoombsJanuary 30, 2024 0

Can you believe it? 3 tips for disclosing and consuming AI-generated content

Let me ask: did you believe Facebook CEO Mark Zuckerberg really boasted about the company’s power in a 2019 video, saying, “Imagine this for a second: One man, with total control of billions of people’s stolen data, all their secrets, their lives, their futures.” The video of Zuckerberg purportedly saying

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Artificial Intelligence | Innovation

Lexi RegaladoJanuary 9, 2024 0

The future of patient care: How AI is changing medicine

Artificial intelligence (AI) is revolutionizing the way medical professionals deliver care and manage patient data. By harnessing the power of advanced algorithms and machine learning, AI applications contribute to more accurate diagnostics, personalized treatment plans and streamlined administrative processes. The integration of AI into health care is helping create a

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Analytics | Artificial Intelligence

Keun-Tae KimDecember 8, 2023 0

성공적인 AI 구축의 필수 요건, Trustworthy AI 만들기

많은 사람들이 AI의 엄청난 잠재력에 대해 듣고 있으며 AI의 활용에 대해 높은 관심을 가지고 있습니다. 하지만, 최근 들어 AI에 대한 부정적 보도들이 많아지고 있으며, AI를 통한 의사결정에 대한 우려도 커지고 있습니다. AI를 도입하고자 하는 조직의 입장에서는 잘못된 AI의 적용으로 회사의 이름이 뉴스 헤드라인을 장식하는 것을 원하지 않습니다. 또한 차별이나 불공정한

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Artificial Intelligence

Vrushali Sawant

Vrushali SawantDecember 7, 2023 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

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Artificial Intelligence

Melissa Jantjies

Melissa JantjiesNovember 30, 2023 0

Trustworthy AI for retail: Balancing innovation and responsibility

The significance of upholding trustworthy AI standards transcends multiple industries. Within retail, AI can potentially wield considerable influence in driving customer experiences, optimizing operations, and shaping business strategies. However, it is crucial to ensure that AI technologies are developed and deployed in an ethical manner, prioritizing human well-being and reflecting

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Data Management | Innovation | Predictions

Kristi BoydNovember 27, 2023 0

A practical approach to creating, reading, updating and deleting data in 2024

AI became the unofficial word of 2023 and the craze is likely to continue into 2024 as new creative applications and uses of AI emerge across industries and sectors. But before organizations invest too many resources into foundational AI models, leadership should ensure that the organization has a firm grasp

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Artificial Intelligence

Reggie Townsend

Reggie TownsendNovember 2, 2023 0

Talking AI in Washington, DC

I recently had two incredible opportunities: to visit the White House for a landmark executive order signing and to make remarks at a US Senate AI Insight Forum. The AI Insight Forum was part of a bipartisan Congressional effort to develop guardrails that ensure artificial intelligence is both transformative and

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Artificial Intelligence | Data for Good

Vrushali Sawant

Vrushali SawantOctober 31, 2023 0

Accountability in AI: A key ingredient for trust

The relationship between trust and accountability is taking center stage in the global conversations around AI. Accountability and trust are two sides of the same coin. In a relationship – whether romantic, platonic or business, we trust each other to be honest and considerate. Trust is fueled by actions that showcase

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Artificial Intelligence | SAS Events

Caslee SimsOctober 26, 2023 0

Strategies for maintaining trust in our AI-driven world

In this era of technology dominated by AI and rapid advancements, trust has emerged as a critical pillar of our interconnected world. As Reggie Townsend, Vice President of the Data Ethics Practice at SAS, explains, we must understand that trust is essential for meaningful relationships and the functioning of civil

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Artificial Intelligence

Kristi BoydSeptember 25, 2023 0

The road to trustworthy AI: Strategies for robustness

Most of us have experienced the annoyance of finding an important email in the spam folder of our inbox. If you check the spam folder regularly, you might get annoyed by the incorrect filtering, but at least you’ve probably avoided significant harm. But if you didn’t know to check spam,

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Analytics | Artificial Intelligence | Data for Good

Vrushali Sawant

Vrushali SawantJuly 26, 2023 0

Trustworthy AI examples from the SAS Hackathon

As a member of the SAS Data Ethics Practice, I was excited to collaborate with teams at the SAS Hackathon to learn more about their ideas for trustworthy AI. Artificial Intelligence has the potential to make a difference in the real world, and partnering with the hackathon teams was a

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Analytics | Artificial Intelligence | Data for Good

Vrushali Sawant

Vrushali SawantJune 23, 2023 0

Inclusivity: A guiding principle for responsible innovation

AI – just like humans – can carry biases. Unchecked bias can perpetuate power imbalances and marginalize vulnerable communities. Recognizing the potential for bias is one of the first steps toward responsible innovation. Doing so allows users to include diverse needs and perspectives in building inclusive and robust products. Through

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Analytics

Kristi BoydMay 31, 2023 0

Understanding the role of privacy and security in responsible innovation

As organizations embrace AI, they often handle large volumes of data that power AI systems. Handling data appropriately includes implementing adequate privacy policies and security measures to protect it. Doing so prevents accidental exposure and ensures ethical data use. AI technology often uses sensitive data for creating, training and utilizing models.

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Artificial Intelligence | Equity and Responsibility

Reggie Townsend

Reggie TownsendMay 25, 2023 0

Fostering AI common sense: The need for critical thinking and healthy skepticism

As AI rapidly advances over the next several years, I’ve been fortunate to have an active role in helping to guide a responsible path forward when it comes to technology’s impact on our daily lives. Currently, this role includes serving as Vice President for the SAS Data Ethics Practice, as an

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