AI and The Human Imperative “Trust, Ethics, and Purpose in Enterprise AI"

When organizational futures depend on AI-enabled decisions made in seconds, leadership teams require more than theoretical frameworks—they need proven methodologies from pioneers who've solved these challenges at the highest levels.

The Critical Decisions in AI Series represents the premier global forum where CTOs, CIOs, VCs, Startup Founders, Investors, Family Offices, Industry Experts, Inventors, AI Strategists, and AI Operators collaborate to architect the next generation of AI-human decision systems. This executive forum convenes the world's foremost practitioners and industry experts to address the most consequential challenges in enterprise AI deployment. Early Bird Ticketing until Dec 30th take 30% off all tickets and upgrades.

Symposium 2: "AI and The Human Imperative

“Trust, Ethics, and Purpose in Enterprise AI,” takes place Wednesday, February 25th, 2026 at 9:00 AM PT / 5:00 PM UK.

The AI systems gaining board approval today will face regulatory scrutiny you haven't planned for. The models shipping this quarter embed liabilities your legal team can't see. The governance frameworks you're building now will either position you ahead of enforcement—or behind your competitors. This is the moment where technical decisions become strategic vulnerabilities. The EU AI Act enforcement begins in 2025. Shareholder derivative suits are targeting AI risk disclosure gaps. Enterprise procurement now requires explainability documentation most technical teams can't produce. Foundation model providers are shifting liability downstream. State privacy laws are reclassifying training data as a distinct compliance category. The gap between what your AI can do and what your organization can defend is widening—and the companies that close it first will define the next decade of enterprise AI.

Julie Saslow Schroeder—Top 25 Global Privacy Expert, Harvard Business Review Advisor, and architect of AI governance frameworks that have scaled from venture-stage to Fortune 100 integration—has spent two decades building the operational systems that separate market leaders from cautionary tales. She's delivered 10x valuations, 50-75% revenue acceleration, and zero regulatory failures across healthcare, fintech, and enterprise SaaS. Not through risk avoidance—through governance infrastructure that makes speed and compliance mutually reinforcing. In this symposium, Julie addresses the questions facing every organization deploying AI at scale: Why is stakeholder confidence collapsing faster than AI capabilities are advancing, and what are the specific operational frameworks that rebuild trust without sacrificing speed, IP protection, or market position? When quarterly targets conflict with safety protocols, how do sophisticated organizations embed ethical decision-making into product development, data strategy, and vendor relationships through accountability structures that survive executive turnover and market volatility? When purpose and profit genuinely conflict—and they will—how do you navigate those tensions without destroying stakeholder trust or competitive advantage?

This symposium is for organizations that understand AI's biggest risks aren't technical—they're strategic, organizational, and reputational. For technical leaders building foundation models and deploying enterprise AI at scale. For chief legal officers and privacy executives translating technical capabilities into defensible business practices. For product strategists balancing innovation velocity with risk management. For investors evaluating AI companies on governance maturity, not just technical sophistication. Your technical teams are making decisions today that create legal exposure tomorrow. Your legal teams are approving deployments without visibility into model behavior. Your board is asking questions your current governance can't answer. Your competitors are either building the infrastructure to navigate this complexity—or accumulating the liabilities that will constrain their growth.

AI without trust becomes a liability. Ethics without accountability is performance. Purpose without profit is unsustainable. Julie will show you how to integrate all three—building AI systems that don't just work today, but endure as trusted, valuable assets through the regulatory transformation ahead. The strategic conversation that determines whether you lead the AI economy—or explain why you didn't—starts here.

Julie Saslow Schroeder

Julie Saslow Schroeder architects legal frameworks that turn regulatory complexity into strategic advantage.

With two decades at the intersection of constitutional law and enterprise AI, Julie brings a rare combination: Supreme Court-level legal rigor applied to the operational realities of scaling technology companies. From Bush v. Gore to Philip Morris v. Williams—the landmark case that established modern corporate liability standards—she shaped precedent before pioneering AI governance in 2006 as founding General Counsel of CodeRyte.

Recognized as a Top 25 Global Privacy Expert (2024) and Top 30 Global Privacy Expert (2025), Julie serves on the Harvard Business Review Council and HBR's Special Advisory Board on Data and Analytics. She is a trusted expert source for Bloomberg and The Wall Street Journal on AI risk and privacy, with expertise grounded in operational leadership across the full spectrum of AI company growth.

As a seven-time General Counsel and Chief Legal Officer across venture-backed and Fortune 100 AI organizations, she's delivered business outcomes that most legal teams can only observe:

• 10x valuation growth through AI/data product strategy
• 50-75% quarter-over-quarter revenue acceleration via governance that enables speed
• 400% sales increase in six months by restructuring legal operations as a growth function
• Co-created an innovation lab with a Fortune 50 company that monetized internal data assets

At CodeRyte—backed by Venrock and Cardinal Partners—Julie built the governance architecture that supported growth to a $270M valuation and 3M's acquisition. She then led the legal integration of one of healthcare's largest AI implementations, proving her frameworks perform under enterprise scrutiny.

Julie leads by building compliance and ethics as foundational infrastructure—not constraints. Across every organization she's led, her teams maintained flawless records—no breaches, no regulatory actions, no litigation, no valuation erosion—while accelerating innovation and capturing market opportunity.

At the Critical Decisions Series, Julie will reveal how the most sophisticated companies build AI governance that compounds value rather than constrains it—transforming legal strategy from cost center to competitive moat.

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