Introduction to Deep Fakes Workshop (2-day workshop)

Date Wednesday 05 June 2024

Time 10am - 6pm

Location Creative Computing Institute

Tickets

£0.00 (Student)

Overview

Description:

This two-day workshop offers a hands-on introduction to the world of deepfakes. The workshop will also provide a detailed examination of the underlying technology that powers deepfakes, including an introduction to the artificial intelligence and machine learning algorithms that make these digital creations possible. Participants will have the opportunity to engage in practical sessions where they will apply the concepts learned to create their own deepfake projects. These sessions will cover a range of techniques for video deepfake tools. Similarly, the workshop will delve into the intricacies of deepfake audio, guiding participants through the process of altering and synthesizing vocal recordings. The code required for the deepfake creation will be provided in the course, so no programming experience is required.

Schedule:

5^th June

10am -12pm Lecture on Deepfakes

2pm - 6pm Workshop on Deepfakes

6^th June

10am - 6pm Workshop on Deepfakes

Bio:

Ahnjili is a machine learning engineer, Ph.D. candidate, artist, and science communicator currently working at an AI startup that specializes in developing deep learning models for facial augmentation. Ahnjili’s academic research centers around the development of biomarkers for monitoring mental and physical well-being using smartphones and wearables, with a particular focus on their application in clinical trials. Ahnjili's artistic research and science communication efforts are dedicated to raising awareness about A.I. and algorithmic violence, which encompasses the violence that may arise from or be justified by automated decision-making systems. Through her work, Ahnjili aims to educate the public and promote discussions about the ethical implications of these technologies in our society.

Participant Requirements:

Bring Your Own Laptop: All participants are required to bring their own laptops.
Local Work Option: For those wishing to work locally, access to an Nvidia graphics card is necessary to handle the processing demands of deepfake creation.
Remote Work Option: Participants without access to an Nvidia graphics card can use (paid) cloud-based graphics cards/GPUs such as Paperspace for their projects. We will reimburse this cost so that it won't be a barrier to access this workshop.