Historically, we trusted technology for its capability—its competence and reliability to *do* a task. Generative AI forces a shift, as we now trust it to *decide* and *create*. This requires us to evaluate its character, including human-like qualities such as integrity, empathy, and humility, fundamentally changing how we design and interact with tech.

Leaders must resist the temptation to deploy the most powerful AI model simply for a competitive edge. The primary strategic question for any AI initiative should be defining the necessary level of trustworthiness for its specific task and establishing who is accountable if it fails, before deployment begins.

Treating ethical considerations as a post-launch fix creates massive "technical debt" that is nearly impossible to resolve. Just as an AI trained to detect melanoma on one skin color fails on others, solutions built on biased data are fundamentally flawed. Ethics must be baked into the initial design and data gathering process.

The stereotype of the brilliant but socially awkward tech founder is misleading. Horowitz argues that the most successful CEOs like Mark Zuckerberg, Larry Page, and Elon Musk are actually "very smart about people." Those who truly lack the ability to understand others don't reach that level of success.

The controversy around David Sacks's government role highlights a key governance dilemma. While experts are needed to regulate complex industries like AI, their industry ties inevitably raise concerns about conflicts of interest and preferential treatment, creating a difficult balance for any administration.

Other scientific fields operate under a "precautionary principle," avoiding experiments with even a small chance of catastrophic outcomes (e.g., creating dangerous new lifeforms). The AI industry, however, proceeds with what Bengio calls "crazy risks," ignoring this fundamental safety doctrine.

Dr. Fei-Fei Li asserts that trust in the AI age remains a fundamentally human responsibility that operates on individual, community, and societal levels. It's not a technical feature to be coded but a social norm to be established. Entrepreneurs must build products and companies where human agency is the source of trust from day one.

Effective AI policies focus on establishing principles for human conduct rather than just creating technical guardrails. The central question isn't what the tool can do, but how humans should responsibly use it to benefit employees, customers, and the community.

Dr. Fei-Fei Li warns that the current AI discourse is dangerously tech-centric, overlooking its human core. She argues the conversation must shift to how AI is made by, impacts, and should be governed by people, with a focus on preserving human dignity and agency amidst rapid technological change.