Chihuahua or Muffin?

Elective - Chihuahua or Muffin?

10 days

Tutors

Brigit Lichtenegger
Javier Lloret
Arjen Suijker

Special Guests

Florian Cramer
Gaspard Bos

Description

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 artist and theorist Florian Cramer, and artist and entrepreneur Gaspard Bos.

Planning

Week 1

Monday

Kickoff with Brigit Lichtenegger & Javier Lloret. Workshop Wekinator, and a selected Short Screening

Tuesday

AI and Machine Learning - Background history, philosophy, Turing Test and a chatbots with Javier Lloret

Wednesday

Theory Session on Neural Networks. Workshop Classification with Arjen Suijker
workshop content

Thursday
Image Generation using DCGans, Jolo and Deepdream With Brigit and Javier

Friday
Lecture and discussion with Florian Cramer

Week 2

Monday
Presentation Gaspard Bos. Session to prepare final presentations with Brigit.

Tuesday
Propose ideas for final presentation with Brigit

Wednesday
Assignment time

Thursday
Assignment time

Friday
Presentations with Brigit and Javier

Tutorials

Generating images using a "Deep Convolutional Generative Adversarial Network" DCGAN
Generating text using a "Recurrent Neural Network" RNN

References

Crapularity Hermeneutics
Geert Mul - Match of the Day
Timo Arnall - Robot Readable World
Algoliterary Bibliography
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
The FRIEND-Browser
Googlism
owow bots
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
mrpimpgoodgame.over