**Overview**
As AI systems become more integrated into our daily lives, the need to build public trust in these technologies is greater than ever. But how do we foster that trust, especially when many AI systems operate as “black boxes”—complex and often opaque in their decision-making processes?
We’ll explore the role of transparency in AI, discussing how making AI systems more understandable and explainable can help address concerns around accountability and fairness. We’ll also examine the potential downsides of too much transparency—such as the risks of oversimplifying or exposing sensitive information, and how this could erode trust instead of building it.
Through real-world examples and case studies, we’ll highlight the challenges organizations face in balancing these two key elements, as well as the ethical considerations involved. By the end of the talk, you’ll have a clearer understanding of how trust and transparency must work together to create AI systems that are not only effective, but also equitable, responsible, and trustworthy.
**Agenda**
6:00pm – 6:30pm: Networking – food & drinks
6:30pm – 8:00pm: Presentation & discussion
8:00pm: Networking at [Lake Monster Brewing](https://www.lakemonsterbrewing.com/)
**Meet Our Featured Speaker**
[Arthur Kjelshus](https://www.linkedin.com/in/arthurkjelshus/) is a forward-thinking tech leader with a proven track record in building high-performing teams and driving innovation in technology-driven organizations. He has held key technical roles across a variety of sectors, including state agencies, defense contractors, federal government agencies, and e-commerce platforms—driving technology initiatives that deliver lasting impact. Arthur has a strong background in software architecture and development, coupled with a desire to help organizations leverage technology through AI driven solutions.
**Sponsors**
This event is sponsored by [Lab651](https://lab651.com/) & [Recursive Awesome](https://recursiveawesome.com/)

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