Notes

AI-Powered Creativity: Reimagining the Brainstorming Session
AI can be useful for expediting the creative process and inspiring humans. However, it is not a replacement for creativity.

After establishing ground rules and an ice breaker, participants work individually to brainstorm ideas on sticky notes or in writing. Then, they share them with the group for evaluation.
1. Ask the Right Questions

Brainstorming is the process of generating new ideas with a group of people. These ideas can be anything from a creative marketing campaign to a new product. But brainstorming isn’t always easy. Sometimes the team members involved may get stuck in their usual ways of thinking and produce unimaginative solutions. This is where AI can come in and break through mental blocks and provide the participants with a fresh set of ideas to explore.

Generative AI tools like ChatGPT can help to boost creativity by facilitating a free flow of ideas during brainstorming sessions. By using specific prompts, the tool can generate a range of ideas that are innovative and unconventional. This can spark a discussion between the team members and encourage them to think outside of the box.

ChatGPT can also be used to identify potential problems with existing ideas. It will provide suggestions on how to improve these ideas, as well as explore alternative approaches. This can help to avoid wasting time on unimaginative solutions and encourage a deeper exploration of the problem at hand.

Another way that generative AI can aid in the brainstorming process is by helping to identify associations. It will look for words or phrases that are commonly associated with a particular topic. For example, it might suggest words that are synonymous with the subject of your brainstorming session or any other keywords that are related. This can give the brainstorming session a more structured approach and ensure that all relevant ideas are being explored.

Brainstorming isn’t just about generating new ideas, it’s about evaluating those ideas and making decisions about which ones to move forward with. That’s why it’s important to have a facilitator and to set ground rules for the session. One of the most important ground rules is that no one should criticize anyone else’s ideas. This is to prevent the brainstorming session from becoming a debate or argument and it will also encourage everyone to speak up.
2. Challenge Yourself

One of the biggest hurdles to creativity is finding ways to push ourselves beyond our comfort zones. This is where AI can help. AI-powered tools are being used to generate new music, paintings, and design concepts. There are even writing tools that can create convincing text based on rough sketches.

While these tools may not be perfect, they can provide a good starting point to inspire creativity and experimentation. By experimenting with different AI tools, creatives can explore different styles and nuances to find the right fit for their work. This can also allow them to better understand the strengths and weaknesses of each model, allowing them to optimize their creative process over time.

When it comes to brainstorming, it is important to start by setting a clear goal or problem to solve. This will ensure that all ideas generated are relevant and focused on solving a specific issue. It will also help avoid group think and unproductive discussions.

Once the brainstorming session is over, it’s a good idea to let the ideas marinate a bit before bringing them back together for a more detailed discussion and evaluation. This will give people time to reflect on the ideas and identify any potential issues with them. It can also be helpful to use a structured process for evaluating ideas, such as the Six Thinking Hats.

While it may seem like AI is getting closer to replicating human creativity, it’s important to remember that true creative work requires intention, skill, and imagination. AI has its place in the creative world, but it should be used as a tool to inspire and assist humans rather than replace them.
3. Create a Safe Space

Traditionally, brainstorming involves group sessions with the goal of generating as many ideas as possible on a topic. It is meant to be a non-judgmental space where all ideas are welcome and no idea is too big or too small for consideration. This is where AI can help.

Using generative AI models like ChatGPT or Midjourney in brainstorming sessions can make the process easier and more productive. They can help generate a wide variety of ideas and provide new perspectives that may not have been previously considered. Adding them to a session can also serve as a good icebreaker, taking the pressure off brainstormers and encouraging them to come up with more creative ideas.

Brainstorming with AI can be especially helpful for teams that are lacking in creative or cultural diversity. Generating ideas with AI can give all team members an opportunity to participate in the ideation process without worrying about being judged by their peers. It can also help break down barriers to creativity by eliminating the fear of sharing “bad” or “unusual” ideas, which are often a common inhibitor in brainstorming.

When using AI in a brainstorming session, it’s important to keep in mind that it has its limitations. It’s best to provide the tool with clear and specific prompts that will help it better understand what you are trying to accomplish so that it can be more effective at delivering suggestions.

For example, when brainstorming on a content marketing campaign, you can use a tool such as ChatGPT to enter a description of your goal and a list of objectives and constraints. Then, you can ask the AI model to suggest different content marketing campaigns that meet these criteria. Providing the AI with this context will ensure that it isn’t steered in a particular direction and will be able to generate more ideas and possibilities for your campaign.
4. Get Diverse Perspectives

When it comes to creativity, diversity and inclusion are crucial. As such, it’s important to incorporate AI tools into brainstorming sessions that can promote these key components.

A great way to do this is to use generative AI platforms that take diversity and equity seriously. These platforms allow users to input their ideas into the system, and a machine will generate a wide variety of outputs that are then evaluated for quality.

This allows users to see how different perspectives impact the final output and ultimately create a more complete solution. Additionally, these generative AI systems can also be used to help with the tedious tasks that can sometimes hamper creativity. For example, if an artist wants to change the sky in a picture, they can simply tell the computer to remove the old one, search for another image to replace it with, and blend the new sky seamlessly into the existing image.

But even though generative AI can be useful for the more mundane creative tasks, it is not a replacement for human evaluation and guidance. While there are many examples of people using generative AI for creative purposes, it is important to always have a human involved in the process. This way, the human can focus on higher-level tasks such as evaluating, revising, and making final decisions while the machine takes care of the more menial tasks.

In a world where AI is reshaping our work, it’s more important than ever to keep up with the latest tools and best practices. By embracing AI, it can be a powerful tool that boosts productivity and sparks innovation across all aspects of the creative workflow.
5. Evaluate AI Productivity To-Do Apps

Despite the fact that AI is great at tasks involving repetitive patterns, such as data analysis or image recognition, it is still not very good at coming up with original ideas on its own. As a result, it will probably never replace human creativity completely, but it can be a useful tool for helping us generate new ideas.

Interestingly, students interviewed in this study understood the relationship between creativity and AI through a different conceptualisation than researchers typically use to define it (see Table A1). This was reflected in the content units and categories they selected from their qualitative answers. These were grouped into four main concepts: social, affective, technological and learning factors.

In terms of creativity, the students surveyed generally perceived that AI could support them in accessing information more efficiently; in promoting global connections; and in supporting their ideas. However, they also indicated that it could impact their creativity through its ability to automate some tasks and challenge their creative autonomy.

There is emerging research into the effectiveness of using AI-based methodologies to assess the creative product. Cropley and Marrone (2021) used convolutional neural networks to assess figural creativity, while Beaty and Johnson (2021) and Olson et al. (2021) have investigated the use of latent semantic analysis to evaluate student responses to a traditional alternate uses task.

While these approaches show promising results, the most realistic way of utilising AI to enhance creativity would be to work with it. This could be achieved by allowing it to generate ideas or drafts and then using the best ones as seeds for further development. It is also important to consider intellectual property rights (IPR) issues when working with AI-generated ideas. This can be addressed by ensuring that the team is clear on how the ideas will be used, and by checking that no one has patented or trademarked any of the ideas generated by AI.
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