Chihuahua or Muffin?

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Elective - Chihuahua or Muffin?

9 days

Tutors

Jeroen Bouweriks
Brigit Lichtenegger
Arjen Suijker
Javi Lloret

Special Guests

Florian Cramer
Geert Mul
Maaike Harbers
Boris Smeenk
Arthur Boer

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 artists and theorists Geert Mul and Florian Cramer.

Planning

Week 1

Monday

Kickoff with Brigit Lichtenegger & Jeroen Bouweriks

Tuesday

AI and Machine Learning - Background history, philosophy, Turing Test and ChatBots with Brigit Lichtenegger

Wednesday

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

Thursday

Arthur de Boer and Boris Smeenk present their work, and part 1 of their Deep Learning workshop.
Workshop Wekinator with Javier Lloret

Friday

Part 2 and results of the workshop with Boris and Arthur 
Presentation, lecture and discussion with Geert Mul en Florian Cramer

Week 2

Monday

Presentation and Workshop on Value Sensitive Design with Maaike Harbers

Tuesday

Progressing on the Research with Jeroen Bouweriks

Wednesday

Finish up research with Javier Lloret

Thursday

Presentations on Research with Brigit and Jeroen

Movie Program (may change)

Tuesday

Ex Machina

Wednesday

Her

Thursday
Computer Chess
Monday

Animatrix

Tuesday

Chappy

Wednesday

Terminator

Tutorials

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

Epoch Workshop Results

Kneel Kneel Blended Utopia Utopia Blended

WWII WWII blended Flags Flags blended

Shared Google Doc

Le Doc

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