The Ohio State University researchers are advancing the usability of the internet for people with disabilities. They are creating an artificial intelligence (AI) assistant that can use basic language commands to carry out intricate operations on any website. With billions of web pages, the internet has developed into a complex ecosystem. The researchers want to make navigation easier, especially for people with accessibility issues.
Co-author Yu Su, an assistant professor of computer science and engineering at Ohio State, highlights how much of our everyday lives are reliant on the digital world, while also pointing out the obstacles that stand in the way of access, particularly for those who are disabled. Their method is using data from active websites to create web agents, online AI assistants.
Their work presents Mind2Web, the first dataset for generalist web agents, at the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS). The intricacy of real-world websites is embraced by Mind2Web, in contrast to earlier attempts that concentrated on simulated websites, allowing the agent to generalize to new sites. The agent was taught by the researchers using more than 2,000 open-ended tasks from 137 different websites. These tasks included arranging DMV exams, booking flights, and following celebrities on Twitter.
The AI agent's capacity to manage the internet's constantly changing learning curve is credited with the team's performance. They present MindAct, a two-pronged agent that tackles the difficulty of effectively digesting vast amounts of data from websites by utilizing both tiny and large language models. Although Yu Su recognizes that flexible AI has the ability to increase productivity, he also draws attention to the risks of misuse, including the dissemination of false information and financial misconduct. The study emphasizes the necessity of exercising caution and making attempts to lessen potential risks.
The research, which has received funding from institutions including the National Science Foundation and the U.S. Army Research Lab, indicates that there is room for a large increase in the commercial application of generalist web agents. This might lead to more opportunities and time savings for users. The researchers are hopeful that their novel tool can help close the gap between the worlds of computing and human users, despite the obstacles.