Anytime you go to a website or create an account on Facebook or Google, you accept the terms and conditions, which includes data collection. Law is going to change because the world is changing,” Iannello said.Ĭurrent law for gathering data is based around the concept of consent, Iannello said. “Artificial intelligence is changing the way we see life. Laws tend to lag behind the technological world, and the societal values that come along with those developments, said Pablo Iannello, professor of law and technology at the University of Dayton. Paralegals and other legal professionals are among those at risk of having their jobs automated by language learning models.īut the legal world also faces a major challenge: Developing laws and regulations that protect the humans that interact with AI tools. Law and ethicsĪrtificial intelligence tools propose to disrupt the practice of law in multiple ways. “Premature overreliance on these not-yet-fool-proof-technologies without sufficient safeguards can have dire consequences,” Thirunarayan said. Facial recognition software that can help apprehend criminals can also be misused by governments to track and harass citizens, either deliberately or through mistaken identities, Thirunarayan said. Like any tool, artificial intelligence can be used for good, or it can be used for malicious purposes. “These tools promise a fertile area of research on trustworthy information processing but, on the other hand, they are not yet ready for prime-time deployment as a personal assistant.” “That leaves me with mixed feelings,” he said. It can also be manipulated into producing incorrect answers for basic math problems, and will fabricate facts and “evidence” with confidence, said Wright State computer science professor Krishnaprasad Thirunarayan. Large language models like ChatGPT, as well as image generators like Midjourney and Dall-E, draw their data from the billions of words and images that exist on the internet.ĬhatGPT has already been used to write everything from children’s books to code. Blockchain is technology that decentralizes the record of digital transactions along computational “nodes,” famously associated with cryptocurrency. The “internet of things” is the idea that any object can collect and transmit data to the internet, like smart refrigerators or car sensors. “If you combine those three things at the very high speed of programming and learning, then you have the situation in which we are today: You have computers that can learn by themselves.” “Artificial intelligence becomes really important when you combine different things: one is machine learning, another is the internet of things, and the third one is blockchain,” Iannello said. But for the first time in history, machines are able to communicate with each other - and learn from each other - without any kind of human input. Humans working to create machines to think like we do is nothing new, said Pablo Iannello, professor of law and technology at the University of Dayton. Machine learning models, or artificial intelligence, are files that has been trained to recognize types of patterns and to predict outcomes from those patterns, often those that humans can’t see. The generative AI chatbot functions conversationally, able to respond to questions and synthesize those answers.Īt the same time, the explosion of ChatGPT usage has raised significant questions about the future of work - and the ethics of artificial intelligence and machine learning as a whole. Since its release in November, ChatGPT has garnered millions of users, and has already disrupted many areas of life and work. The model was then asked to expand on how this would affect Dayton in particular, followed by how it would affect those with bachelor’s degrees.
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