Exploring Deepfakes Detection and AI Reality
Speakers
Session Description
As AI-generated content becomes increasingly sophisticated, deepfakes are reshaping the digital landscape across media, finance, and online platforms. This session explores how deepfakes are created, the technologies used to detect them, and the growing importance of safeguarding organisations against AI-driven misinformation and fraud. Participants will gain insights into the latest advancements in deepfake detection, with a focus on explainable and human-centred AI that enables transparent and trustworthy decision-making. The session will also examine the challenges of building robust detection systems that perform effectively across different languages, cultures, and real-world scenarios, highlighting the role of large-scale benchmarks and datasets in advancing responsible AI.
Key Highlights
- Understand Deepfakes: Learn how deepfakes are created, detected, and used across real-world applications
- Explore Explainable AI: Discover how transparent AI makes deepfake detection more reliable and trustworthy
- Build Responsible AI Awareness: Understand the importance of robust, multilingual, and human-centred deepfake detection systems
Who Should Attend
- PhD researchers
- Early-career faculty
- Clinician-researchers
- CS/AI/ML engineers
- Environmental & sustainability researchers