From the environmental costs of data centers to the cultural biases baked into today’s models, Paul Roetzer and Cathy McPhillips answer your questions from our 50th Intro to AI class. Throughout the episode, they unpack the gray areas of AI-generated content, debate what the rise of agents means for work, and consider how creatives can stay ahead with AI.
Show Notes: Access the show notes and show links here
Timestamps:
00:00:00 — Intro
00:05:13 — Question #1: Which environmental concern feels most urgent for the AI industry to solve?
00:07:58 — Question #2: How well do AI models reflect diverse languages and cultures?
00:10:25 — Question #3: What risks and ownership issues come with AI-generated video and images in marketing?
00:15:26 — Question #4: What are the best ways to start experimenting with AI agents?
00:18:22 — Question #5: Is there value in using multiple AI platforms to cross-check results?
00:22:06 — Question #6: How should businesses weigh built-in AI assistants versus standalone tools like ChatGPT?
00:24:30 — Question #7: Are we moving toward a standardized way for websites to guide how AI systems interact with their content?
00:29:27 — Question #8: How do you see different search engines being used or leveraged by AI companies?
00:32:24 — Question #9: How do you choose the right AI model for marketing, HR, and sales tasks?
00:34:56 — Question #10: What role do you see AI playing in building and managing communities?
00:38:31 — Question #11: What frameworks should teams use when integrating AI into CRM or workflow automation to keep systems scalable and secure?
00:40:51 — Question #12: What are the most common mistakes companies make when trying to ‘force-fit’ AI into a workflow?
00:42:23 — Question #13: Which AI tooling is best suited to develop and monitor a marketing communications strategy at SME vs. enterprise scale?
00:45:11 — Question #14: Do you think AI fluency will become a baseline requirement for executives?00:46:55 — Question #15: What should creatives in fields like graphic design or UX/UI be thinking about as AI continues to evolve?
00:52:29 — Question #16: How do you see coding and technical skills as careers in a world where today’s kids will grow up with AI?00:55:35 — Question #17: What’s the best way to handle situations when AI gets things wrong, and how do you approach fact-checking?
00:58:39 — Question #18: If you had to narrow it down to just one ethical principle that matters most right now, which would it be and why?
01:00:48 — Question #19: How should companies address internal concerns around data privacy, compliance, and governance?
01:01:53 — Question #20: Which AI applications do you expect to break through sooner than people think?
This episode is brought to you by Google Cloud:
Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner.
Learn more about Google Cloud here: https://cloud.google.com/
This episode is brought to you by AI Academy by SmarterX.
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