Joe Toscano
Boards are signing off on AI deployments faster than their organisations can govern them. Privacy, consent, and data lineage have moved from compliance topics to live commercial risks tied to model training, customer trust, and regulatory exposure. Most leadership teams have no shared language for deciding which uses of data are defensible and which are not.
Joe Toscano is a former Google design consultant turned privacy advocate who helps boards and executive teams set defensible standards for how their organisations collect, use, and govern data in AI systems.
Full Profile
Why organisations work with Joe Toscano
- He left Google over the data practices he saw inside it, then wrote the book on what those practices look like from within. That insider account is hard to replicate at the keynote level.
- His work translates AI and privacy debates into specific operating decisions: what data to keep, what to delete, what to disclose, and where consent breaks under regulatory scrutiny.
- As founder of DataGrade and BEACON, he speaks from the position of someone running a privacy-first business, not commenting on one from outside.
- His public visibility through The Social Dilemma, Fox News, and Forbes means he can hold a non-technical audience on a technical subject without dropping the substance.
Biography highlights
- Featured expert in Netflix’s The Social Dilemma.
- Author of Automating Humanity (powerHouse Books / Simon & Schuster).
- Founder and CEO of DataGrade.
- Founder of the Better Ethics and Consumer Outcomes Network (BEACON).
- Former Experience Design consultant for Google.
- TEDx speaker; Forbes contributor; recurring Fox News technology commentator.
Biography
The companies setting the rules for how consumer data trains AI systems are also the companies whose products most depend on that data. That conflict sits at the centre of Joe Toscano’s work. He came out of Silicon Valley with a designer’s view of how those products are built, then turned that knowledge outward.
Toscano was an Experience Design consultant for Google before stepping away in 2017 over what he saw of the industry’s data practices. Automating Humanity, his book with powerHouse Books, set out the argument in detail: how attention is engineered, how disinformation pays, and how automation is being trained on data the public never knowingly handed over.
He went on to found DataGrade, a privacy-first data company, and BEACON, a network focused on technology literacy and ethical innovation. The Netflix documentary The Social Dilemma brought that work to a mass audience, and he has since become a regular technology commentator on Fox News and a contributor to Forbes.
What makes him useful to boards is the combination of inside knowledge and operating responsibility. He is not theorising about AI governance from a lectern. He is building a company that has to make those decisions every day, and translating that into language a non-technical executive team can act on.
Key speaking topics
- AI ethics and governance
- Data privacy and consumer trust
- The business case for privacy-first design
- Technology literacy for non-technical leaders
- The future of work under AI and automation
- Disinformation and platform accountability
- Regulation and the post-GDPR landscape
Ideal for
- Boards and executive committees setting AI and data governance standards
- Chief Privacy Officers, CISOs, and Chief Data Officers
- CMOs and customer experience leaders weighing personalisation against privacy
- HR and transformation leads planning workforce change driven by AI
Audience outcomes
- A clearer line between defensible and indefensible uses of customer data in AI systems
- Specific questions a board should be asking about model training data and consent
- A working view of how privacy can be a commercial advantage, not just a compliance cost
- Sharper judgement about what to believe and discount in vendor pitches on AI capability
Talks
A working session on how individuals, platforms, and businesses are connected through data, and what that means for trust and risk inside the organisation.
Key takeaways:
- How data flows between consumer products and the AI systems trained on them
- Where consent and disclosure break under current regulation
- What leaders can do internally before regulators force the question
A talk for organisations weighing automation against workforce stability and customer trust.
Key takeaways:
- Where AI deployment helps the workforce and where it erodes it
- How to talk to employees honestly about AI without losing them
- Practical tests for whether an AI use case is worth the trust cost
Repositions privacy from a compliance line item to a commercial proposition.
Key takeaways:
- The revenue case for privacy-first product design
- How privacy connects to ESG and customer retention metrics
- What changes operationally when privacy moves out of legal and into product
A practitioner-level session for data and privacy teams working under shifting regulation.
Key takeaways:
- How to read regulatory direction across jurisdictions
- Common failure modes in privacy-by-design programmes
- A working vocabulary for non-technical stakeholders