About the event How does the Internet work? Who runs it? Who makes all the decisions? Why are things like this? We’re going to see how ordinary people with interesting ideas can affect how the Internet works, and what it takes to achieve it. About the speaker Antonios Chariton (he/him) Read more…
In the first part we cover current specific challenges: (1) discrimination (e.g., facial recognition, justice, sharing economy, language models); (2) phrenology (e.g., biometric based predictions); (3) unfair digital commerce (e.g., exposure and popularity bias); and (4) stupid models (e.g., Signal, minimal adversarial AI). These examples do have a personal bias but set the context for the second part where we address four generic challenges: (1) too many principles (e.g., principles vs. techniques), (2) cultural differences (e.g., Christian vs. Muslim); (3) regulation (e.g., privacy, antitrust) and (4) our cognitive biases. We finish discussing what we can do to address these challenges in the near future.
How can social bots be detected in today’s online mistrusted platforms?
Prof.Vakali will reveal crucial research outcomes in the battle against social bots “in the wild”. Social bots detection under interpretable and responsible AI methods will be showcased, to open ideas and dialogues for effective online disinformation services.
Autonomous driving is one of the greatest challenges of our times. Big companies, researchers, and designers of modern cities are drawn towards autonomous vehicles. In this presentation, we’ll initially go through the basic principles that apply in each stage of autonomous driving and then we’ll have a look at NVIDIA’s autonomous driving model. By using Udacity’s open-source simulator as a guide, we will describe the stages of training an autonomous driving system, while applying the deep neural network architecture as proposed by NVIDIA.