Career Advancement Programme in AI for Online Hate Speech Monitoring
Published on June 23, 2025
About this Podcast
HOST: Welcome to our podcast, today we're talking with Dr. Sofia Thompson, an expert in AI and online hate speech monitoring. She's here to discuss her new course, the Career Advancement Programme in AI for Online Hate Speech Monitoring. Welcome, Sofia! GUEST: Hi, thanks for having me! HOST: Let's start by talking about your personal experiences in this field. What drew you to focus on AI and online hate speech? GUEST: Well, I've always been fascinated by the power of AI and how it can be used for social good. Online hate speech is a pressing issue that affects so many people, and I saw an opportunity to make a difference. HOST: That's inspiring. Now, could you share some current industry trends that are relevant to your course? GUEST: Absolutely. There's growing demand for professionals who can effectively monitor and mitigate online hate speech using AI technologies. This course equips learners with those in-demand skills. HOST: Speaking of challenges, what do you think are the biggest hurdles in this field, either for those learning or teaching this subject? GUEST: One challenge is keeping up with the rapidly evolving nature of AI and online platforms. It's crucial to stay current and adapt the curriculum accordingly. HOST: That's a great point. Lastly, where do you see the future of AI and online hate speech monitoring heading? GUEST: I believe AI will play an even more significant role in identifying and addressing online hate speech. Our goal is to prepare professionals for the future and empower them to create safer online spaces. HOST: Thank you, Sofia, for sharing your insights and telling us about the Career Advancement Programme in AI for Online Hate Speech Monitoring. It's clear that this course offers valuable training for data scientists, social media analysts, and AI enthusiasts. GUEST: You're welcome! It's been a pleasure discussing this important topic with you. (Note: A few minor edits were made to the conversation to ensure it sounded natural and conversational.)
