Podcast Transcript
HOST: Welcome to today's episode, where we're exploring the exciting world of Explainable AI. I'm your host, and joining me is Dr. Rachel Kim, the program director of our Undergraduate Certificate in Creating Explainable AI Models for Transparency. Rachel, thanks for being here.
GUEST: Thanks for having me. I'm excited to share the benefits of our program with your audience.
HOST: So, let's dive right in. What makes Explainable AI so important, and why should our listeners care about transparency in AI models?
GUEST: That's a great question. As AI becomes increasingly pervasive in our lives, it's essential that we understand how these models make decisions. Without transparency, we risk perpetuating biases and losing trust in AI systems. Explainable AI is about building models that provide insights into their decision-making processes, ensuring accountability and fairness.
HOST: That makes sense. Our course promises to equip students with the skills to build trustworthy AI systems. Can you walk us through what they can expect to learn?
GUEST: Absolutely. Our course is designed to be hands-on, with a focus on real-world applications. Students will learn to design and implement explainable AI models using techniques like feature attribution, model interpretability, and visualization. They'll work on projects that have social impact, collaborating with leading AI researchers and industry experts.
HOST: That sounds like a fantastic learning experience. What kind of career opportunities can our listeners expect with expertise in Explainable AI?
GUEST: The job market is eager for professionals with expertise in Explainable AI. Our graduates can expect to find opportunities in industries like finance, healthcare, and technology, where transparency and accountability are critical. Top employers are seeking individuals who can develop transparent AI solutions, and our certificate holders are well-positioned to fill this gap.
HOST: That's great to hear. What sets our course apart from others in the field?
GUEST: One unique feature of our course is the opportunity to develop a portfolio of explainable AI models. This portfolio can be showcased to potential employers, demonstrating students' skills and expertise. Additionally, our students join a community of like-minded professionals passionate about transparent AI, providing a lifelong network of peers and mentors.
HOST: That's a fantastic benefit. Can you share any success stories from our graduates?
GUEST: We've had several graduates go on to work with top tech companies, developing Explainable AI solutions for real-world problems. One graduate even started their own AI startup, focusing on transparent AI for social good. It's inspiring to see our graduates making a positive impact in the field.
HOST: That's amazing. Finally, what advice would you give to our listeners who are considering a career in Explainable AI?
GUEST: I'd say that Explainable AI is an exciting and rapidly evolving field. If you're passionate about building trustworthy AI systems, this is an incredible opportunity to gain the skills and expertise you need to succeed. Don't hesitate to reach
