How Generative AI Changes Creativity

Thu May 11 2023

Generative AI Tools

Generative AI tools can fundamentally change the value of an artist's work by shrinking the time to iterate and think of ideas.
The use of generative AI has allowed artists to experiment with riskier, more out-there ideas in creativity.
Tools like Wonder Dynamics streamline the process of creating characters embedded in live-action video, allowing for larger scale projects.
Collaboration is still necessary for some projects that require actors or camera operators.

Collaboration is not eliminated by AI tools, but rather encouraged.
The creative industry is moving towards being impressed by video and 3D animation generated by AI.
Generative AI has just scratched the surface of what it can do and will continue to improve.
AI models will move from text output to image, video, 3D model, and environment output.
People with less experience in technology can create good enough versions of art using these tools.
Artists may need to transition away from identifying solely as artists to make a living due to generative AI.
Creatives who are generalists are safe from being replaced by AI while specialists are at risk.

Specialists don't have to work as hard to generalize, but generalists have to work very hard to clone and copy what they do.
Creatives should actively experiment with AI tools to avoid being left behind.
Showing the human effort put into the output is crucial in a world where the value of output is not enough.
There will be a parallel industry about trust and verification due to generative AI.
Generative AI can diversify ideas and make them more innovative, but there are implications for how we pick and select them.
Human agency is needed for quality control when using chat GPT for generating ideas.
Chat GPT can help filter out low-quality ideas, and models can be trained to come up with better quality ones.
Generative AI has a role in design thinking approach, rapid experimentation, brainstorming, rapid prototyping.

Generative AI can help companies innovate by providing recombinations from different industries and domains.
Generative AI is capable of creating new designs, conjuring up candidates for therapies to study, and creating imaginary customers for product development.
AI is not yet capable of creating new markets as it lacks sensitivity to human needs.
AI can generate novel ideas but humans are still in charge of verifying their usefulness.
Ethical considerations must be taken into account when using generative AI in the creative process, such as intellectual property rights and the potential replacement of doctors with AI.
Generative AI can be used as an assistant in group brainstorming to encourage serendipity and come up with more wacky ideas.
Uptake of generative AI varies by location and age.

Uptake of chat GPT is not universal and there are differences by where you live and your age.
Training on how to use Chachypiti with prompt engineering is needed for democratizing the workplace.
Prompt engineering course and templates can help in mastering generative AI.
The economic model will determine if everyone will be an innovator or a restricted one.
Authenticity still lies with the human being, but collaboration between machines and humans is important for innovation.
Collaboration between machines and humans will dictate how we build our jobs in the future.
Generative AI may help big companies that haven't felt very innovative suddenly become innovative.

Generative AI can potentially help established firms innovate, but leadership is crucial for organizational and cultural change.
Incorporating generative AI into workflows and routines requires changes in mindset and technology.
Senior leaders should embrace generative AI as an opportunity to come up with new ideas within the workplace.
The challenge is how to evaluate the many ideas generated by generative AI, selecting those that are novel, useful, and feasible.
Business experts are valuable in selecting worthwhile ideas to pursue based on the purpose of the business and questions it wants to address.
Purpose-driven leaders who keep asking questions are needed for effective implementation and adoption of generative AI.
Generative AI has great potential for revolutionizing businesses, but ethical considerations must be taken into account.