THE FUTURE OF CREATIVITY

Creativity describes the ability to generate new and original ideas. It allows you to think outside the box. Creativity finds applications in art, science, technology and everyday life. It requires flexibility, imagination, risk-taking and looking at different perspectives. Creativity drives innovation, progress and personal growth. The evaluation of creativity is subjective – it is human. It varies by context and area. There is no single criterion for creativity. The evaluation of creativity is subjective and is shaped and made jointly by us humans according to our socio-cultural development. Artificial intelligence (AI) refers to the development of computer systems capable of performing tasks that normally require human intelligence. AI uses algorithms and data to recognize patterns, analyze problems and make decisions. It includes technologies such as machine learning, neural networks and natural language processing. AI can be used in a variety of areas, from automating processes to predicting trends and personalizing services.

Which scenario can be derived from this?

People will appreciate the authenticity of human, irrational creativity again, and they may be willing to pay extra for it. Generative models demonstrate impressive capabilities but suffer from accuracy issues such as factual errors and flawed logic. Because of this, humans might demand more accuracy from human sources than from machine-generated information. Because human culture is changing faster than algorithms can be trained, despite improvements in algorithmic ability, humans will retain the ability to make significant leaps in creativity. We believe that political leadership is needed to strengthen governance in the information space and combat the rise of misinformation.

What action derivations arise for us?

Businesses and creatives should focus on empowering and nurturing authentic human creativity. In a world where algorithmically generated content is on the rise, the value lies in uniqueness and awareness of social and cultural contexts. It is important to pay attention to the accuracy of content. Because generative models have impressive capabilities but suffer from accuracy issues, humans should continue to depend on trusted human sources rather than machine-generated information. Political leadership is required to strengthen action in the information space. With the rise of misinformation and the need for content moderation, governments and platforms should create carefully designed frameworks to counteract it and ensure content quality and reliability.