Be ready to interact with our featured speaker, Damian Synadinos, and your fellow participants.
Please arrive at 11:30 am. Eat. Mingle. Make new friends.
Everything starts with trust. And often, trust is enough. However, misplaced trust—trusting the wrong thing, the wrong amount, or at the wrong time — can have significant, negative consequences. But how can we know when trust is enough? And what do we do when it is not? By practicing skepticism!
Healthy skepticism is a neutral stance that suspends belief until justified evidence is available. And it can help us avoid negative consequences and move forward when trust is not enough.
Practicing skepticism involves fact-checking, being aware of biases, asking good questions, and much more. And it is all especially relevant with the rise of Artificial Intelligence, a powerful yet complex technology. Understanding AI and practicing skepticism can help us use it responsibly, effectively, and safely.
Join Damian Synadinos for this TIGER Talk as he explores these topics, offers ways to develop a skeptical mindset, and shows how it all applies to AI by providing practical tips to better navigate today’s new world.
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Damian Synadinos is a person with a diverse set of great talents!
For over 30 years, he helped “build better software & build software better” through testing. Now, through his company Ineffable Solutions, he helps “build better people”.
As a full-time, international public speaker, he delivers entertaining and educational keynotes, talks, and training that are focused on people, based on experience, and supplemented with research.
Damian has helped organize the “QA or the Highway” testing conference, performs & teaches improv comedy, authored & illustrated a children’s book (HankAndStellaBooks.com), and draws strangers for fun (IDrawStrangers.com).
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Like all TIGER Events, this talk is FREE.
Timeline:
11:30 am – Lunch / Socializing
11:50 am – Introduce yourself to our crowd (your “15 Seconds of Fame”)
12:05 pm – Hand-off to Damian
1:00 pm – Wrap / More Socializing