Here are some examples of innovations or inventions that have arisen from artificial intelligence research and applications:
- Computer vision algorithms for image recognition, object detection, and image generation. These are used in applications like facial recognition, autonomous vehicles, medical image analysis, and deepfake image/video creation.
- Natural language processing models like GPT-3 for advanced text generation and comprehension. These models can write articles, poems, code, emails, and more based on text prompts.
- Recommendation systems utilized by Netflix, Amazon, YouTube and more to recommend content to users based on their interests and behavior.
- Voice assistants like Alexa, Siri and Google Assistant that can understand speech, answer questions, control smart devices and more through conversational AI.
- Game-playing algorithms like DeepMind's AlphaGo that defeated the world champion in the complex game of Go, showing major advances in reinforcement learning.
- Advanced cybersecurity systems that can detect malware, intrusions, fraud and other threats using AI techniques like machine learning and neural networks.
- Robotics enhanced with AI is powering advancements like self-driving vehicles, delivery robots, exoskeletons to augment human abilities, and robotic personal assistants.
- Precision medicine and diagnosis tools enabled by AI can analyze patient data to recommend treatments or automatically detect medical conditions from imaging scans.
The continued progress of artificial intelligence is leading to a wave of emerging innovations in nearly every industry and domain. As the capabilities of AI systems improve, so too will their applications solving problems and enhancing products and services.
"This is also true of intellectual property products and processes. AI advanced systems are replacing and sometimes improving human activity and functionality in creating intellectual property products. Though it sounds like science fiction, AI systems already write newspaper articles, create and author stories, produce paintings, create musical compositions, write software, generate other AI systems, and even design inventions. AI systems create a wide range of innovative, new, and non-obvious products and services, such as medical devices, drug synthesizers, weapons, kitchen appliances, and machines, and will soon produce many others that, had they been generated by humans, might be patentable inventions under current patent law."
While AI can make innovations, they cannot invent from a legal perspective on most jurisdiction. I would go further that, by using the concept of novelty and nonobviousness they do not invent. To fulfill they nonobviousness, they would have to produce out of distribution complex processes something generative AI proponents still needs to prove it does.