Wikimedia Foundation, Inc.: AI Explained: From Theory to Real-World Impact

Summary

Artificial intelligence, or AI, is the capability of computer systems to perform tasks usually requiring human intelligence. Since its founding in 1956, AI research has evolved dramatically, spurred by advances in deep learning and neural networks since 2012, and further accelerated by the transformer architecture after 2017. Today, AI drives everything from search engines and virtual assistants to autonomous vehicles and generative AI, which can create images, audio, and video from text prompts. Key research areas include reasoning, knowledge representation, planning, learning, natural language processing, and perception. While AI offers immense potential, concerns are rising about its ethical implications, including privacy, copyright infringement, algorithmic bias, and the risk of technological unemployment. Furthermore, discussions about AI regulation are prompted by potential existential risks and unintended consequences. Investment in AI infrastructure is soaring, with the US alone projected to invest $2.7 trillion by 2030, leading to significant increases in power demand, potentially doubling by 2026.