AI agents are getting pretty sophisticated—but are they trustworthy? We tackled this question head-on in this month's edition of AI Responsibly. ✳️ Grammarly Product Manager Tylea Simone Richard delves into what it really takes to build AI agents people can rely on. Spoiler alert: it's not just about making them smarter. It's about striking the sweet spot between giving agents enough autonomy to be effective while keeping humans firmly in the driver's seat. She makes a compelling case that trust—not just capability—will be what separates the winners from everyone else. ✳️ We also caught up with Moustafa ElBialy, CIO at Kleiner Perkins, about what it's actually like to roll out AI across an organization. His take? Adoption has been smoother than expected, but making that adoption responsible and scalable? That's where the behind-the-scenes work gets interesting (and complex). The bottom line is that as these AI systems become more autonomous, teams that develop human-centered design will have a real advantage. Check out the full July edition of AI Responsibly for the complete picture on building AI that people can actually trust:
Steve Tustin
1w
You can't.
Learning Strategy & Innovation | Championing human-centered design for today's digital learners
1wI particularly appreciate ElBialy's point that "treat AI as a collaborator, not a decision-maker. It’s there to reduce manual load, clarify language, and accelerate understanding, not to replace human thinking or accountability. Responsible use means putting people first, designing thoughtful guardrails, and making sure the value of AI is always matched by trust in how it’s being applied."