Tag: responsible innovation

Analytics | Artificial Intelligence | Innovation
Jonathan Moran 0
How integrating generative AI with SAS Customer Intelligence 360 helps modern digital marketers

Generative AI models have existed since the 1950s, but only in recent years have their application in marketing gained significant attention and media coverage. The impressive abilities of generative AI, particularly in content generation, have sparked excitement within the industry. However, the larger question that arises is: How can generative

Artificial Intelligence | Innovation
Lexi Regalado 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

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

Artificial Intelligence
Melissa Jantjies 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

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 | Artificial Intelligence | Data for Good
Vrushali Sawant 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

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 | Data for Good | Innovation
Jerry Williams 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

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 (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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