This AI Lund workshop is on the topic of opportunities and perils of fake data produced by the AI concept Generative Adversarial Networks (GAN) and other generative machine learning techniques.
In the last 5 years the field of so-called creative or generative Artificial Intelligence, notably Generative Adversarial Networks (GANs), has progressed in an enormous pace. What does it mean for our society that AI is gaining an increasing capacity to (re-)produce informational patterns? How does the world look like when it is populated with deep fakes and synthetic realities?
Generative AI can be used to generate images of people who do not exist, create convincing fake footage in which people do things they never did, dream up moving images based on a single picture, produce artificial influencers on Instagram, make art, take over basic creative labor (production of video game graphics, interior design, fashion, texts, music or recipes) or produce synthetic data -thus circumventing some of the problems with real data: scarce availability, labor intensity of data labelling, data biases, privacy intrusiveness!- to fuel our hungry data economy, speed up machine learning, or break or pervert existing data analytical systems.
By bringing together a variety of use cases for generative AI, this seminar offers a unique opportunity to think about some recurrent societal and legal challenges and opportunities that generative AI brings along.