How Generative AI Changes Creativity
Thu May 11 2023
Generative AI Tools
00:02 - 06:28
- 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.
AI in the Creative Industry
06:04 - 12:09
- 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.
Experimentation and Quality Control
11:47 - 18:44
- 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.
Innovation and Market Potential
18:27 - 24:51
- 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.
Adoption and Implementation
24:25 - 30:54
- 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.
Leadership and Organizational Change
30:35 - 36:48
- 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.