Innovation Hub
An initiative by Al Bayat Mitwahid in UAE

Introduction to AI
Unit 3 – Implications for the future or work, learning and personal life
Lesson 2: AI for media creation
Modern generative AI may be creating a revolution in how creative industries work. It has the potential to automate content creation processes for any company, which would allow them to be more efficient and productive. Content could be created more quickly, and possibly with a wider range of styles and inspiration. This is true from artwork to music and literature, potentially challenging traditional modes of creation.
There are some big questions about the ethics of these systems. The datasets used to train AI models for images and text had to come from pieces created by humans. Many of these datasets didn’t ask the original creators if their creations could be used to train the AI programs. This creates complex legal and ethical problems where artists are losing out on income, instead users are paying subscriptions to the AI companies. These questions of authorship, intellectual property, and the role of human creativity will emerge as the technology blurs the distinction between human-generated and AI-generated content. If creative workers embrace AI, and ethical and legal concerns can be met, collaborations between humans and AI may change how we think about the creative process.

Leonardo.ai prompt: a vector illustration that shows many images being used to train AI and a resulting image as output. Show a backdrop of many images falling into a computer, and one image coming out of the computer
DISCUSSION
What would be an ethical way for AI companies to use art for training their AI programs. There’s no right or easy answer here, but consider how companies could make sure that the creators of any images used in training could be fairly compensated for their work. What would be a good way to do this? And should artists be able to prevent their artwork being used by AI, even if they are offered payment?
