Chris Jackson’s Post

Why disclosing #AI usage matters and is a key pillar of building trust with customers. In Europe, article 50 of the #AIAct touches upon this as well in many dimensions. Companies need a clear strategy how to handle this.

How do we build AI that’s good for everyone? Responsible AI hopes to help. The framework is helping companies de-risk the uncertainty around the new technology while maximizing its value for the organization, its users, and society at large. But what exactly comprises Responsible AI? What happens if you don’t apply it? In our most recent piece, our researchers broke down the fundamental principles of Responsible AI, providing real-world use cases of both good and bad Responsible AI applications, as well as insights into how these principles translate into practical considerations for organizations. What steps is your organization taking towards implementing Responsible AI? Learn more: https://lnkd.in/gTW2WCrj #ArtificialIntelligence  #ResponsibleAI #genAI

Responsible AI not only helps clients protect themselves from the many risks AI can create, but also produces significantly better business outcomes, particularly financial benefits. Read about the basics here and stay tuned for more details about those benefits and how to get started.

Navigating the Pros and Cons: Exploring the Impact of AI in the Tech Industry👩💻 Recently AI has been in the news due to concerns over deepfake AI images being created. Although this sheds more public light on the negatives of AI, we want to see the different effects it has within the technology landscape. Check out our blog attached to weigh up the pros and cons of AI. https://lnkd.in/exSbceDY #ai #techindustry #premiertechnology

"Companies should be required to make disclosures about the use of AI in their products and offerings to customers." 84.4% of panelists in a new MIT Sloan Review article agree/strongly agree with this statement. Artificial Intelligence Disclosures are Key to Customer Trust How well does your #strategy address #future disclosure decisions in building long term relationships with your customers? What are the impacts of #AI and Machine Learning on this? Strategy is Mastery https://lnkd.in/dXddRHf2

Implementing Responsible AI: From Principles to Real-World Application https://lnkd.in/g2Xq_m9T #ResponsibleAI #AIEthics #AIGovernance #FairAI, #ExplainableAI #AIRegulation #AIBestPractices #EthicalTech #AIPolicy #TrustworthyAI

Jay Upchurch, CIO of SAS, highlights the rise of “Shadow AI” due to accessible generative AI (Source: Express Computer). These unauthorized solutions pose challenges for CIOs. Upchurch suggests collaboration with division leaders to centralize AI responsibilities, fostering productivity without stifling curiosity. SAS, an ethical innovator, addresses biases through Explainable AI, ensuring trust in solutions. Read more about Shadow AI: https://lnkd.in/d3PEK5eP #ShadowAI #ExplainableAI #GenerativeAI #DataSecurity

🚀 Excited to share a new article I've co-authored with Ashutosh Malaviya, "Addressing Bias and Fairness in AI Products"! Dive into the critical aspects of ensuring AI systems are both fair and unbiased. Here’s what you’ll learn: 🌐 Identifying and Mitigating Bias: Understand the sources of bias in AI and how to address them at every development stage. 🛠️ Technical and Ethical Strategies: Explore diverse technical measures and ethical frameworks to promote fairness in AI products. 📊 Measuring Fairness: Learn about key metrics and tools to assess and ensure fairness in your AI systems. Read the full article here: https://lnkd.in/eu_Hs7zZ #AI #EthicalAI #BiasInAI #Fairness #TechEthics #AIProductManagement