Brandon Purcell

As generative AI models interact more with digital environments, their unpredictability renders traditional testing insufficient. Instead, aligning these models with corporate and customer values through technical and governance mechanisms is essential. Learn more about the "align by design" approach.

With all of the attention bestowed on AI, it may feel as though every day is AI Appreciation Day. Today — on the actual AI Appreciation Day — we look at its impact on companies and on society and how hesitant leaders can get on board.

In a world where data is as abundant as clarity is elusive, mastering the discipline of decision-making is more important than ever. Many organizations and leaders fall short at decision-making, approaching it intuitively rather than analytically. For those in charge of an organization where success relies on their ability to optimize business decisions, a mystery […]

Learn why a new paper from AI startup Anthropic brings up a broader conversation about the value of AI explainability.

It’s an iconic scene — the Ring of Power flying through the air in slow motion as Frodo tumbles to the floor of the Prancing Pony. As drunken revelers look on and the ring slips onto his finger, the small, frightened hobbit vanishes into thin air. Frodo Baggins is invisible. And so begins Frodo’s fraught […]

Whether your organization is preparing for impending regulation or trying to bridge the AI trust gap with customers and employees, the executive order can help you prioritize your efforts. Here are four responsible AI practices to begin implementing now.

The new executive order calls for a “societywide effort” from government, the private sector, academia, and civil society to address eight AI priorities.

You can’t afford to sit back and wait on the opportunities in AI. But you can’t afford to deploy misaligned systems either. What do you do? Learn how to Align By Design.

Do you understand generative AI? Forrester’s data shows that 54% of AI decision-makers believe their organization’s executive team is “very familiar” with it — but we’ve observed widespread misunderstandings among execs of what it is, how it works behind the curtain, and what it can do. So last week we published a new, FAQ-style report […]

For business leaders looking to create transparency in their AI models, explainable AI technologies have emerged as a solution to engender stakeholder trust. Learn more about them in this post.

What are four of the most impactful uses of AI in recent years? Find out in this AI Appreciation Day blog.

Our new report, Rev Your Recommendation Engines With New Techniques, breaks down four recommendation methods. Get a preview here.

Microsoft's recent layoff of its entire ethics and society team serves as a powerful reminder to companies to take charge of their own ethical destinies.

Forrester provides guidance on how to succeed with AI governance with the NIST’s AI RMF 1.0.

Meta announced its plans to ensure fairness in how it distributes ads for housing as part of a settlement with the US DOJ. But ensuring fairness in AI will remain a challenge. Learn more.

The future of experiences will be driven by analytics, and many of them will be anticipatory.

With most emerging technologies comes a period of confidence-building, but AI presents its own unique trust challenges. Learn how to start overcoming them.

AI can deliver value, but getting it right is a challenge. We’ve seen AI deployed successfully, like the program that discovered 20,000 undeclared pools, and less successfully, like the computer-generated rapper that was dropped by its record label over racist stereotypes. To apply AI successfully, you not only need to get the data and modeling […]

Erhalten Sie eine detaillierte Analyse der kürzlich veröffentlichten Roadmap des Business Roundtable für verantwortungsvolle KI.