Presentation
Generative AI in Design & Verification: Are We Hallucinating or Innovating?
DescriptionThe rapid rise of generative AI holds the promise of transforming semiconductor design and verification flows with unprecedented capabilities in automation, intelligent synthesis, and error detection. Enthusiasts envision a future where AI accelerates innovation cycles, reduces costs, and addresses the growing complexity of chip design with ease. However, skeptics question whether these expectations are grounded in reality, pointing to challenges like the "black box" nature of AI models, lack of explainability, and potential over-reliance on technology that may not yet be mature.
This panel brings together leading voices representing both ends of the spectrum to tackle a critical question: Are we innovating responsibly with generative AI, or are we risking costly illusions? Champions of generative AI will argue that the technology is already enabling significant advancements, from automating repetitive tasks to uncovering design optimizations that were previously unfeasible. On the other side, cautious experts will highlight the risks of blindly adopting AI-driven solutions, including trust deficits, bias in decision-making, and the potential to exacerbate the talent shortage by creating new skill demands that the current workforce may struggle to meet.
The panelists will debate key points of contention, such as:
• Accuracy vs. Reliability: Can generative AI provide the level of precision required for mission-critical designs, or do its inherent limitations in explainability make it a liability in high-stakes environments?
• Automation vs. Creativity: Does AI enable engineers to focus on higher-level problem solving, or does it risk stifling creativity by promoting over-automation and reliance on pre-trained models?
• Short-term Gains vs. Long-term Impacts: Are current generative AI applications genuinely reducing time-to-market, or are they introducing new complexities and risks that could offset these benefits in the long run?
• Workforce Transformation: Will generative AI alleviate the talent shortage by streamlining workflows, or will it deepen the skills gap by demanding expertise in both AI and traditional design methodologies?
• Trust and Governance: How do we ensure that AI-generated solutions are transparent, verifiable, and aligned with industry standards?
Join us for this dynamic and thought-provoking discussion as our panelists confront these challenges head-on and seek to separate innovation from illusion. Together, we'll explore the tangible opportunities, the realistic timelines for adoption, and the strategies needed to ensure that generative AI drives sustainable progress in semiconductor design and verification. Whether you're an optimist, a skeptic, or somewhere in between, this panel promises insights to inform your perspective on the future of design automation.
This panel brings together leading voices representing both ends of the spectrum to tackle a critical question: Are we innovating responsibly with generative AI, or are we risking costly illusions? Champions of generative AI will argue that the technology is already enabling significant advancements, from automating repetitive tasks to uncovering design optimizations that were previously unfeasible. On the other side, cautious experts will highlight the risks of blindly adopting AI-driven solutions, including trust deficits, bias in decision-making, and the potential to exacerbate the talent shortage by creating new skill demands that the current workforce may struggle to meet.
The panelists will debate key points of contention, such as:
• Accuracy vs. Reliability: Can generative AI provide the level of precision required for mission-critical designs, or do its inherent limitations in explainability make it a liability in high-stakes environments?
• Automation vs. Creativity: Does AI enable engineers to focus on higher-level problem solving, or does it risk stifling creativity by promoting over-automation and reliance on pre-trained models?
• Short-term Gains vs. Long-term Impacts: Are current generative AI applications genuinely reducing time-to-market, or are they introducing new complexities and risks that could offset these benefits in the long run?
• Workforce Transformation: Will generative AI alleviate the talent shortage by streamlining workflows, or will it deepen the skills gap by demanding expertise in both AI and traditional design methodologies?
• Trust and Governance: How do we ensure that AI-generated solutions are transparent, verifiable, and aligned with industry standards?
Join us for this dynamic and thought-provoking discussion as our panelists confront these challenges head-on and seek to separate innovation from illusion. Together, we'll explore the tangible opportunities, the realistic timelines for adoption, and the strategies needed to ensure that generative AI drives sustainable progress in semiconductor design and verification. Whether you're an optimist, a skeptic, or somewhere in between, this panel promises insights to inform your perspective on the future of design automation.
Organizer
Panel Moderator
Event Type
DAC Pavilion Panel
TimeMonday, June 232:00pm - 2:45pm PDT
LocationDAC Pavilion, Level 2 Exhibit Hall