Chihuahua or Muffin? (2018)
Elective - Chihuahua or Muffin?
In 2014, a machine passed the Turing Test for the first time since it was developed by Alan Turing in 1950.
The test was based in the question “Can a computer trick a human into thinking it’s actually a fellow human?”.
Even more recently, self-driving cars started driving completely autonomously without a safety driver.
The recent developments in the field of Artificial Intelligence and Machine Learning are opening up new possibilities but also presenting new challenges and ethical dilemmas. In this elective, students will be introduced to Artificial Intelligence and Machine Learning through a series of lectures, presentations, hands-on workshops and discussions. What is the current state of AI, and where is it going? How does a machine learn? And why must self-driving cars be programmed to kill? Invited guest lecturers will include media artists and theorists Geert Mul and Florian Cramer.
Kickoff with Brigit Lichtenegger & Jeroen Bouweriks
AI and Machine Learning - Background history, philosophy, Turing Test and ChatBots with Brigit Lichtenegger
Theory Session on the inner workings of Neural Networks. Workshop supervised machine learning with Arjen Suijker workshop content
Arthur de Boer and Boris Smeenk present their work, and part 1 of their Deep Learning workshop.
Workshop Wekinator with Javier Lloret
Part 2 and results of the workshop with Boris and Arthur
Presentation, lecture and discussion with Geert Mul en Florian Cramer
Presentation and Workshop on Value Sensitive Design with Maaike Harbers
Progressing on the Research with Jeroen Bouweriks
Finish up research with Javier Lloret
Presentations on Research with Brigit and Jeroen
Movie Program (may change)
Epoch Workshop Results
Geert Mul - Match of the Day
Timo Arnall - Robot Readable World
OpenEth Computable Ethics
Why Self-Driving Cars Must Be Programmed to Kill
Fooling Neural Networks in the Physical World with 3D Adversarial Objects
Deep Learning is not the AI future
Future of Life Institute
How Many Computers to Identify a Cat? 16,000
Speech Recognition and Deep Learning
NPU chips in intelligent phones
New AI can guess whether you're gay or straight from a photograph
AI picks up racial and gender biases when learning from what humans write: There is no objectivity