Panel I · 1:00 – 2:15 PM
AI in Software-Defined Vehicles
KC
Karl Clark
Moderator · IEEE R4 IEC · 29 yrs Ford Motor Company
A sensing exercise, not a position-staking event — questions built to surface where the industry actually is, not where press releases say it is.
Core Questions
- Q1
Where is AI genuinely embedded in your engineering process today — and how do you distinguish what's in production from what's still in research?
- Q2
Left side of the V, right side, or code generation — where are you seeing real traction, and what explains the asymmetry?
- Q3
How are teams drawing the line between 'AI informs' and 'AI decides' on safety-critical matters — and has that line shifted as you've learned more?
- Q4
Is anyone working toward a world where AI agents collaborate across engineering disciplines to design, validate, and certify vehicle systems — and what would that even require?
Reserve Questions
moderator's discretion if time and energy permit
- Q5
Make vs. buy: building in-house, using commercial tools, or depending on suppliers — how is that decision playing out?
- Q6
What is the one AI-in-SDV engineering challenge your organization hasn't solved yet that you suspect others are wrestling with too?