Speaker Bio:
Tim Morell is a Florida civil trial attorney whose work focuses on litigation, privacy, cybersecurity, and AI governance. A former Toastmasters Area Governor, he serves on The Florida Bar Cybersecurity and Privacy Committee and speaks on the real-world risks and responsibilities that come with emerging technologies. His TEDx talk, AI: The Hammer That Thinks, examines how to use artificial intelligence without surrendering human judgment.
Talk Title:
AI: The Hammer That Thinks
Talk Summary:
Artificial intelligence is not the story of salvation or doom. It is the story of a powerful tool that can produce enormous benefits while also creating serious risks when people begin to trust it too quickly and question it too little.
This talk examines a central problem in modern AI: systems can be wrong in ways that feel persuasive, confident, and correct. That makes AI different from many older tools. Its influence is not limited to speed or scale; it can also shape judgment. In law, business, education, healthcare, lending, and other high-stakes settings, the real danger is not simply technical error. The greater danger is that human beings may begin outsourcing responsibility to systems that are opaque, unaccountable, and difficult to challenge.
Tim Morell, drawing on decades of litigation experience and his current work in privacy, cybersecurity, and governance, offers a practical framework for using AI without surrendering human oversight. It argues that institutions should treat AI as a powerful instrument that demands discipline rather than worship, governance rather than panic, and accountability rather than blind trust.
The presentation moves from concept to action. It explains why transparency, human review, data protection, and institutional responsibility are essential guardrails for high-risk AI use. It also offers concrete examples that audiences can apply immediately, including approaches to protecting confidential information from unintended AI training, requiring meaningful human review for consequential decisions, and defining high-risk AI in a way that supports sensible regulation without stifling innovation.
At its core, the talk asks a simple but urgent question: when a tool becomes persuasive enough to influence thought itself, who remains in charge? The answer, this talk argues, will determine whether AI strengthens human institutions or quietly weakens them.
· A clear and accessible way to think about AI as a tool that must remain subject to human judgment.
· A practical understanding of why transparency, accountability, and oversight matter in high-stakes AI decisions.
· Concrete policy and governance ideas that can be adapted by professionals, organizations, educators, and policymakers.
· A framework for embracing innovation while preserving responsibility.





Ellen Contreras – MC