🟣 Opening Framing (3 mins)
Delivered by Moderator (Boundless Chief Product & Technology Officer)
Quick intro from each speaker:
Name, role, and one sentence on where AI touches their day-to-day 🔵 Part 1: What Responsibility Actually Looks Like (10 mins)
🎤 Questions for Giovanni:
How do you define “responsible AI” when building or embedding features in your HRIS product? What does good look like? What are red flags you watch for in product development? How do you decide when to embed AI into your product — and when not to? [New Optional]: Workday has been having some legal troubles over its HiredScore AI feature, which allegedly negatively affected candidates aged 40 and up. Most recently, the US District Court in California has ruled that Workday now needs to provide a list of customers who enabled it. Do you think there is a lack of responsibility in implementing that feature? 🎤 Questions for Kolvin:
What parts of AI are you most and least concerned about? What kinds of AI-related questions are your clients bringing to you most often? Are there use cases you routinely advise against — or at least pause for deeper scrutiny? Do you use any kind of framework or checklist when guiding clients through AI implementation in HR? Moderator bridge prompt:
“We often talk about ‘responsibility’ like a value. But in your roles, it’s a decision. Who’s accountable when something goes wrong?”
🟡 Part 2: Living the Tension – Between Innovation and Risk (10 mins)
🎤 Questions for Caroline:
You sit in a unique position: AI touches your tools, your people, and your policies. What keeps you up at night? How do you balance business pressure to move fast with your own internal ethics — especially when evaluating new tech? Who do you bring into those decisions — legal? ops? employees? 🎤 Cross-panel prompts:
How do you assess whether a vendor has actually thought about AI risks — or is just selling features? Do any of you have “pause moments” — flags that make you stop or slow down a rollout? Moderator note: Invite panelists to disagree or push back, especially on whether speed and responsibility are truly in conflict.
🔴 Part 3: Risk, Readiness & Leadership (10 mins)
🎤 Prompts for everyone:
Is it ever too early to implement AI? What needs to be in place before a team is ready? What should HR leaders be documenting when AI is involved in a people decision — to stay compliant and transparent? How are your teams — or your clients — communicating AI usage internally to employees? Is there enough transparency? 🔍 Specific legal question:
What’s the most overlooked risk area when it comes to using AI in HR right now? 🔍 Specific HR/People question:
How do you ensure your AI policies don’t only serve the business — but also protect the people the business depends on? 🟢 Closing Round (2 mins):
Moderator asks:
“In one sentence: What’s the one question every HR leader should ask before introducing AI into their people stack?”
Let each panelist answer in turn.
