Artificial intelligence is a transformational technology that powers many of the technologies we use every day. It enables new applications in areas like health, transportation and financial services, and it enhances disaster response, streamlines logistics to reduce waste and strengthens cybersecurity. It helps solve some of humanity’s biggest challenges from predicting and mitigating climate change effects to improving disease detection and treatment in healthcare.
AI is becoming more widespread and pervasive, spanning fields from computer science, data analytics and statistics, hardware and software engineering, to philosophy, linguistics and neuroscience. But it has also raised ethical concerns and questions about potential long-term risks of superintelligent AI.
Some of the biggest advances in artificial intelligence (AI) today are focused on generative AI, or gen AI. This is a category that encompasses technologies such as large language models, text-to-image and text-to-video AI, speech recognition and generation, and other tools that can create original content.
This is the type of AI that powers the voice assistants on smartphones such as Amazon’s Alexa and Apple’s Siri, as well as Netflix’s personalized recommendations engine and Google’s search results. It is used in the healthcare industry for diagnosis and treatment, as well as in security applications such as fraud detection. It can perform repetitive tasks faster than a human, and isn’t limited by time of day, breaks or the need to sleep. It is also increasingly capable of understanding natural human language, and can generate text or images to respond to user prompts in a variety of ways.