Professional Certificate in AI and Transparency in Image Recognition
Published on June 23, 2025
About this Podcast
HOST: Welcome to our podcast, today I'm excited to be joined by Dr. Sarah Peterson, an expert in AI and image recognition. She's here to talk about her course, "Professional Certificate in AI and Transparency in Image Recognition." Sarah, can you tell us a bit about what inspired you to create this course? GUEST: Absolutely, thanks for having me. I've seen a growing need for professionals to understand not just the technical aspects of AI, but also the ethical implications. This course is my response to that need. HOST: That's fascinating. And how does this course address those ethical implications? GUEST: We delve into the challenges of transparency in AI technologies, teaching participants how to implement image recognition systems that are not only effective but also explainable and accountable. HOST: Interesting. Could you share some current industry trends related to this topic? GUEST: Sure. There's a growing emphasis on explainable AI, or XAI, as it's often called. Companies are realizing that they need to be able to explain how their AI systems make decisions, especially in sensitive areas like image recognition. HOST: That must present some challenges. What are some of the biggest hurdles you've encountered in teaching this subject? GUEST: One of the main challenges is helping students understand that AI transparency isn't just a technical issue, it's also a societal one. We need to consider the impact of AI on society and ensure that these technologies are used responsibly. HOST: That's a great point. And looking forward, what do you see as the future of AI and image recognition in terms of transparency? GUEST: I believe we'll see increasing regulations and standards around AI transparency. It's no longer enough to build powerful AI systems; we must also ensure they're transparent and accountable. HOST: Well, Dr. Peterson, thank you for sharing your insights with us today. Your course sounds like a vital resource for anyone working in AI and image recognition. GUEST: Thank you. I'm excited to see more professionals engaging with these important issues.
