Generative Artificial Intelligence (AI) refers to algorithms and models capable of producing new content—such as text, images, music, or code—that mimics or even rivals human creations. Recent breakthroughs in model architectures (e.g. transformers) and the advent of large-scale models like OpenAI’s GPT-3 and DALL-E have fueled an explosive growth in generative AI’s capabilities and public adoption. This paper provides an overview of generative AI’s rise and its transformative impact across various fields. We discuss key applications of generative AI in domains ranging from art and design to software development and medicine, highlighting the innovative benefits it brings, such as enhanced creative productivity and new problem-solving tools. At the same time, we examine the challenges and ethical concerns emerging from generative AI’s widespread use—issues of bias, misinformation, intellectual property, and misuse that have become increasingly urgent. We also analyze the current technical limitations of generative AI (including accuracy, interpretability, and resource demands) and consider future outlooks for the technology. The findings underscore that while generative AI offers unprecedented opportunities and innovations, careful consideration of its ethical implications and proactive governance is essential to ensure it is developed and used responsibly. In conclusion, generative AI stands as a powerful tool that is reshaping creativity, industry, and society, and its continued evolution will depend on balancing its benefits with diligent management of its risks.
- Quote paper
- Fatlind Mazreku (Author), 2025, The Rise of Generative AI. Applications, Challenges, and Ethical Implications, Munich, GRIN Verlag, https://www.hausarbeiten.de/document/1677226
