PProgress is slowing in some areas. For example, today takes 18 times more researchers Double the microchip density compared to the early 1970s. in fact, a Stanford University Studies found that while research effort had increased by a factor of 23, research productivity declined by a factor of 41 over the same period.
leading opinion is AI can’t generate fundamentally new ideas on its own But it can support humans in doing so by stimulating human creativity. However, it is easy to overlook that AI can also stifle human creativity because as AI becomes more intelligent, it becomes more helpful and distracting. Therefore, we must be aware of how AI can support human creativity and where it does more harm than good. recently Study The Gottlieb Dutweiler Institute explores these questions.
3 ways AI can catalyze human creativity
1. Recognize Patterns
AI can identify patterns in large data sets, prompting humans to develop new hypotheses. For example, researchers have used machine learning predict what chemical combinations can help make car batteries, and they found four promising options To test in real life setting.
It can also present more digestible content than plain data and numbers. Self-learning algorithms can write full text, speak to us with computer-generated voices, or even create emotional pieces of music,
2. Provide the Big Picture
AI can automatically sift through and analyze vast amounts of information from various sources by filtering, grouping, and prioritizing. It can also build knowledge graphs and help humans identify associations between seemingly unrelated data. can be used in drug research To identify interactions between different substances, develop new treatments, and reduce side effects.
In the future, ChatGPT and similar tools will explain complex relationships without having to read multiple websites and articles.
3. Guide Experiment
AI can also guide experiments by predicting the results of experiments using existing data and eliminating those deemed unpromising. For example, Rolls-Royce used a neural network To develop a new superalloy with the optimum combination of cost, density, stability, oxidation resistance and fatigue life.
Generative AI – algorithms that create entirely new content – has attracted a great deal of attention through AI image or text generators, such as OpenAI’s DAL-E2 and ChatGPT. autodesk now develops generative design tools who create design concepts of objects entirely by themselves, for example, an interplanetary lander that is lighter than human-designed counterparts. Such devices have prompted the prediction that “humans go from creators to curators,
AI’s limits support human creativity
AI cannot replicate such real life experiences or personal interactions. Exploration, adding new domains of knowledge on the go, and improvisation without a dedicated outcome in mind are also challenges for AI.
For example, a tool that optimizes flight routes with respect to CO2 emissions would not suggest switching to transport via trains or meetings via video conference only. At the end, AI does what it saysare bound by the data we feed it and the goals we define.
,Looking ahead, the most successful ideas will likely come not from bright thinkers alone, but from the best people carefully piloting intelligent machines while remaining firmly in the driver’s seat.
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– Jan Bisser, Senior Researcher and Speaker, Gottlieb Duttweiler Institute
How AI can disrupt human creativity
Given these limitations, freeing up time is arguably one of AI’s greatest contributions to human creativity. In fact, AI is expected to take over mundane, repetitive tasks, making us more human and creative. For example, a UK study estimated that AI assistants will give back Two weeks per year to British workers by 2030.
However, studies on AI and time use often focus only on its time-saving potential and ignore other factors. If we essentially intend to use AI frequently, it reduces the amount of time we spend without using AI. That time is valuable for creativity, as AI cannot support all activities that lead to new ideas, such as exchanging and discussing ideas with others or opening up and reflecting.
In the past, we divided our time primarily between two activities: time with others and time for ourselves. today we spend more time alone, And there’s also a third stage: time spent with digital technology. It is likely that the share of this third state is increasing through AI.
With AI, more daily activities can be supported by digital technologies – smart speakers can talk to us while we cook or drive a car. Intelligent algorithms are also becoming increasingly better at predicting behavior, communicating with us in natural language, and attracting attention.
AI is already being used Analyze eye tracking data on websites to optimize how they attract people’s attention or to tailor product or movie recommendations to users’ personal interests. Unfortunately, the more AI successfully distracts us, the more it prevents us from pursuing more creative pursuits.
Resisting AI’s Distraction
The use of AI will undoubtedly help develop new ideas and organizations that ignore AI will risk losing competitiveness in the long term. The goal should be to use AI where it can support human creativity and where it does more harm than good.
Resisting the distraction of AI is important in our personal lives and at work alike – for parents to consider its impact on their children’s on/off-screen balance and for managers to appreciate where it fosters creativity and where it distracts employees from more creative activities such as off-screen reflection and brainstorming.
If we become complacent, the decisions about how we spend our time will be made for us. Looking ahead, the most successful ideas will come not only from the brightest thinkers, but also from the best people carefully piloting intelligent machines while remaining firmly in the driver’s seat.
Jan Bizer, Senior Researcher, Gottlieb Duttweiler Institute
This article was originally published In World Economic Forum.
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