Empathy 101: Designing for Humans in the Age of AI
Augmented intelligence means building towards a future where AI can complement users’ abilities and help them grow in areas where they may need additional support.
Trust by Design: The Elements That Build Confidence
When decision-makers rely on large language models (LLMs) or other AI systems, they’re not just adopting a tool. They’re also accepting a degree of risk that comes from delegating judgement to a system they didn’t build and may not fully understand. Trusting the output of an LLM means having confidence that not only is it […]
Human + Technology Collaboration: Better Together
When people talk about AI or automation, it’s often framed as either-or: humans or machines. But the real power is in the and. Humans and machines working together, each doing what they do best, to create a system that’s smarter, faster, and more capable than either one alone. Why the Human Still Matters Tech can […]
From AI-Curious to AI-Serious: The Journey to Strategic Impact
When LLMs first entered the spotlight, many organizations rushed to experiment with chatbots and use copilots.
Then organizations shifted to apply AI in ways which promised measurable ROI, but for many the focus was on cutting costs, not driving growth. These projects often worked. They saved time, reduced costs, and impressed stakeholders. Still, something was missing…
In this article, we explore how organizations are shifting from AI experimentation to human-centered AI strategy.
The future isn’t just AI. It’s human+AI by design.
The Future of Decision-Making: AI, Trust, and Transparency
Trust is crucial for important decisions in life, business, and society. Trust in data. Trust in decision-makers. And trust in the procedures that govern critical decisions that impact lives. As society contemplates recreating human intelligence in rapidly advancing software, we will need to revisit aspects of how critical decisions are made in the first place. […]
