Recent research and developments by Stanford's Human-Centered Artificial Intelligence (HAI) have sparked worry in the medical community about the viability of "curbside consults," where artificial intelligence is relied upon for real medical advice. Though the ChatGPT software failed to agree with known responders in 64 clinical scenarios, machine-based systems have promise. OpenAI's GPT-3.5 and Google's Med-Palm 2 generative AI tools have both been tested, with ChatGPT providing the most encouraging results at an agreement rate of 41%. The potential of these machine learning tools is great, but caution is urged until further advancement is achieved.
ChatGPT is a powerful AI-driven language model used for a variety of tasks, but it can also pose a risk to the privacy and confidentiality of attorney-client relationships. That is why ethical considerations must be taken into account, such as limiting its usage on drafts not meant for confidential communication. Attorney-client data must be protected at all costs. Developed by AI and machine learning experts, ChatGPT provides an efficient communication and language model for drafting documents.
This article is about a recent experiment conducted by Stanford and Google researchers to create artificial intelligence agents that behave like humans and interact with each other. With machine learning models, the researchers succeeded in creating 25 "ChatGPT" instances which were equipped with their own realistic backstories and behaviors. The experiment has opened possibilities for AI-driven simulations in the gaming industry, as well as customer service and other industries.
Explore the evolution of tech policy from Obama's optimism to Harris's vision at the Democratic National Convention. What's next for Democrats in tech?