Fact-checking: Techniques for Verifying AI-Generated Content
2 hours: virtual training
Level: Beginner
Axel Springer Academy
The main goal of this workshop is to teach AI content recognition strategies. It includes identifying suspicious patterns and inconsistencies, checking internal and external logic, and exposing news-relevant AI fakes. The work involves practical exercises and actual fake news examples, fake images and manipulated videos.
Learning goals
- Participants will learn to identify suspicious patterns and inconsistencies in images, and videos that may indicate AI-generated content
- Participants will practice applying techniques and tools to expose news-relevant AI fakes, including counterfeit images and manipulated videos
- Participants will develop the ability to critically analyze content to verify its credibility and determine if it might have been generated by AI
Target Group
Our Upskilling offers are designed for businesses across all sectors, providing tailored learning experiences that meet the unique challenges and objectives of each team or organization. Available in both English and German, we aim to equip organizations with the knowledge and skills necessary for success in a variety of areas.
Our approach ensures that regardless of the specific focus — be it increasing operational efficiency, enhancing competitiveness, or promoting innovation — our expert-led courses offer relevant and effective education. This fosters growth and excellence across a multitude of disciplines, supporting organizations and teams in achieving their objectives and advancing further.
Contact us for enterprise workshops for your organization
more upskilling offers
Artificial intelligence as a tool in content production
The seminar is aimed at participants who want to learn how artificial intelligence can support them in complex research. Participants will be introduced to AI-supported tools for analyzing large amounts of data, including the extraction of information from image and sound files. Case studies will be used to show how AI is successfully used in investigative journalism and the challenges involved.
Artificial intelligence as a research tool
The seminar is aimed at participants who want to learn how artificial intelligence can support them in complex searches. Participants will be introduced to AI-powered tools for analyzing large amounts of data, including extracting information from image and sound files. Case studies will be used to show how AI is successfully used in investigative journalism and the challenges involved.
Basics for reporting on artificial intelligence
The seminar provides an introduction to the technical foundations of modern AI technology and explains key terms such as large language models and neural networks. In addition, ethical issues such as data protection, racial bias and intellectual property will be discussed using case studies. Participants will gain insights into the AI industry, market strategies and current AI regulations, particularly in the EU and US context.
© Axel Springer SE 2022 – Die Axel Springer SE will der erfolgreichste Digitalverlag weltweit werden.