[Session 12] Show, Don't Tell: AI in Action
- Date
- 2025-06-26
- Host
- Women Defining AI: Community Calendar
About this event
Most conversations about AI stay abstract for too long. [Session 12] Show, Don't Tell: AI in Action is built to do the opposite: put real use, practical thinking, and grounded discussion at the center so you can see how AI actually shows up in work, decision-making, and autonomous systems. If you are tired of vague claims and broad predictions, this session offers a more useful approach. The focus is on seeing AI in action, understanding what matters, and having smart conversations with other people who are actively paying attention to where this space is going. About the Event This is an in-person session designed for people who want a clearer, more concrete view of AI than what you get from headlines or surface-level demos. The title says a lot about the format: rather than spending the session telling people what AI could do in theory, the emphasis is on showing how AI can be applied, observed, discussed, and evaluated in practice. As Session 12, this event sits within a broader community context, which makes it especially valuable for attendees who want more than a one-way presentation. It is not just about absorbing information; it is about being in the room with others who care about AI, autonomy, and where these tools are creating real shifts. Expect a format that supports both learning and connection. Because the event is in person, there is more room for nuance, discussion, and the kind of direct exchange that helps people move from curiosity to understanding. What to Expect You can expect a session centered on practical examples, live thinking, and community conversation rather than abstract theorizing. The "show, don't tell" framing suggests an experience that helps attendees engage with AI through demonstration, illustration, and concrete discussion points. The session will likely be most useful when approached as a chance to observe how AI capabilities are translated into action. That means paying attention not only to what AI can produce, but also to how people frame the problem, evaluate outcomes, and think about autonomy in real settings. A typical attendee experience may include: A focused in-person session with a clear theme around AI in action Concrete examples or walkthroughs that make the topic easier to assess and discuss Discussion around autonomy, including where automation helps and where judgment still matters Opportunities to connect with other attendees interested in AI, emerging workflows, and applied use cases Community-driven conversation that goes beyond passive listening Because this is an in-person event, one of the most valuable parts may be what happens around the session itself: the side conversations before it begins, the questions that come up during it, and the networking afterward. Those moments often turn a good event into a useful one. Why Attend The biggest reason to attend is simple: seeing applied AI is more useful than hearing general opinions about it. When AI is discussed in specific, observable terms, it becomes easier to understand what is genuinely promising, what is still immature, and what kinds of decisions practitioners need to make when using these systems. This session is also a good fit if you are trying to sharpen your judgment. AI is moving fast, and many people feel pressure to have a position on tools, automation, and autonomy without having enough concrete reference points. Spending time in a session built around examples and discussion can give you those reference points. You may leave with: A stronger sense of how AI can be applied in real contexts Better language for talking about autonomy with colleagues or peers Questions worth exploring further, rather than just surface-level excitement New connections with people who are actively engaged in this space A more grounded perspective on where AI is useful right now There is also value in the room itself. Events like this help create a smarter local conversation around AI by bringing together people who want substance, not just hype. If you care about practical adoption, responsible use, or the broader implications of autonomous systems, that shared context matters. Practical Details When: Thursday, June 26 at 2:30 PM EDT Location: In person Since this is an in-person event, plan to arrive with enough time to get settled and make the most of the networking aspect. A few extra minutes before the session starts can make a real difference, especially if you want to meet other attendees and start conversations early. This event will likely appeal most to people who want a focused, mid-day session with strong practical relevance. If AI, autonomy, and applied learning are already on your radar, this is a timely way to step out of the abstract and into a room where the conversation is meant to be concrete. Bring your curiosity, your questions, and your own perspective on where AI is already changing the way people work and think. The more specific your interests are, the more you are likely to get from the session.
Who should attend
This session is for people who want a more practical, grounded understanding of AI and want to discuss it with others in person. - You should come if you are **curious about AI but tired of vague promises** and want to see ideas translated into concrete examples and discussion. - You will get a lot from this if you are **thinking seriously about autonomy, automation, or AI-assisted workflows** and want sharper judgment about what is useful in practice. - This is a strong fit if you are a **builder, operator, strategist, or decision-maker** who needs better ways to evaluate where AI can actually help. - You should attend if you value **community and networking**, and you want to meet others who are actively exploring similar questions around AI adoption and impact. - This session makes sense if you learn best by **being in the room, asking questions, and hearing how other people interpret real examples** rather than consuming another generic online take. - You will probably feel at home here if you want **substance over hype** and are looking for thoughtful conversation, not just trend-chasing.