不良研究所

AI: A Tectonic Shift in Human Society

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Concept art with the panel divided diagonally from lower left to upper right. Left side in blue tones a robotic face, right side in red/orange tones a human face.
How will human society evolve with the increasing use of artificial intelligence? (Getty Images)

The first time most people could communicate with a computer that responded like a real person was in 2022 when OpenAI publicly launched ChatGPT. Just two months later, the app set the record for the base with 100 million monthly active users.

The service was prone to mistakes and hallucinations, but the conversations felt more or less real. Since then, advancements in artificial intelligence (AI) as a technology have been stunning. , a standard that determines by whether a human believes they are communicating with another human being. AIs score better now than humans on the SAT, GRE and LSAT.

Beyond these seemingly shocking advances, most of the AIs all around us remain out of sight. AIs manage energy distribution across the country. On dating sites, they help us pick potential partners. In the world of finance, about is initiated through algorithmic trading, another form of AI.

鈥淚 would say that AI is part of the human system,鈥 said Martin Hilbert a professor of communication in the College of Letters and Science at 不良研究所.

Hilbert is among the many social scientists across Letters and Science who study AI to answer questions about people and society and to develop technologies that may drive our future. This work touches nearly every part of daily life, from health to education to the way we communicate with each other. Their work shows that at this point in history, AI and human society are inextricably intertwined.

鈥淚t鈥檚 the end of our species if you take seriously what it鈥檚 about,鈥 said Hilbert. 鈥淚t doesn鈥檛 mean we鈥檙e going to die, but it means there is an artificial element, an offspring of ours, that also possesses the defining aspect of our species. We鈥檙e no longer the only being in our universe that has this knowledge business down.鈥

AI driving social evolution

The 2013 film Her tells the story of a man who falls in love with the chatbot embedded in his computer鈥檚 operating system. Throughout the film, the voice who speaks to him during nearly every waking moment 鈥 like the chatbots that seem imminent 鈥 feels like it comes from flesh and blood.

Except AI is not a person. So what exactly is it?

AI is a type of computer program that works like a very long series of probabilistic if-then statements that rely on data to find the right response. When we interact with an AI, whether it鈥檚 on ChatGPT or a chatbot that helps us book a flight online, its responses are based on a database of similar interactions that help it predict what to say.

This technology that could help to solve some of society鈥檚 problems is actually reorganizing society itself. In a , Hilbert named this kind of technology-driven reorganization 鈥渁lgorithmification.鈥

鈥淎lgorithmification does to knowledge what digitalization does to information,鈥 said Hilbert.

Digitization created widespread access and use of information that was once contained exclusively in books, individual databases and human minds. Hilbert argues that algorithmification expands the reach, access and potential of knowledge and information processing that was only done by human minds.

Hilbert explained that this shift is only the most recent iteration of our social evolution, whic has been the primary way humans have evolved for the past 10,000 years. That change has been driven by technology, and it has affected every living person in human societies.

鈥淵ou could get rid of your cellphone and you could never touch money, and you could go out into the desert and maybe you could survive for a few weeks or a month,鈥 said Hilbert. 鈥淵ou would still be a human but you would be like a human thousands of years ago. You would not be evolving with the rest of us in society.鈥

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AI and the future of business

When it comes to the economy, there鈥檚 a lot of fear about AI costing people jobs and even making some jobs obsolete. Hilbert says some of this is true. The key, he said, is to understand how to use AI technologies for your benefit.

While entire job categories are unlikely to be replaced, Hilbert also said that workers who don鈥檛 use AI will likely be replaced by workers who do. However, AI will also make it possible to significantly accelerate contributions to education, medicine and so many other areas by its ability to produce language and software code.

鈥淲hile we have put much effort into writing code for marketing and security, we haven鈥檛 really started yet writing code for education and healthcare or for arts and entertainment to the same degree,鈥 said Hilbert. 鈥淲e still need thousands of teachers around the world. Doctors, the same thing. If there are certain tasks that can be alleviated with algorithms, that would be amazing.鈥

The promise of AI has captured the imagination of venture capital firms investing in the future. 不良研究所 alumnus Vince Lane is a venture capitalist investor with a focus on AI and other 鈥渇rontier technologies鈥 like software-as-a-service (SAAS) and cybersecurity. An entrepreneur with over 25 years of startup and corporate experience, Lane is also a member of the Letters and Science Dean鈥檚 Advisory Council.

鈥淚f you don't utilize artificial intelligence then you aren't even being looked upon as a viable company,鈥 said Lane.

Lane saw this kind of disruption in the 1990s with the earliest widespread access to the world wide web, but said he was too young and early in his career to be a major part of it. Today, he is at the center of AI innovation, helping to steer its course through strategic investments and advice.

Lane said that AI is going to break through the limits of what we can accomplish on our own. This includes speeding up technological and bio-medical advancements. It also includes streamlining functionality for logistics and software development. He said that these kinds of innovations are going to make everyone more efficient and happier in their day-to-day lives.

鈥淲ith artificial intelligence, I will say that even though I'm so ingrained the whole community is moving very, very fast. I think it's one of the biggest disruptors of our century,鈥 said Lane.

AI in daily life

Our lives are increasingly going to involve interactions with AI, for better or for worse. These interactions in particular are a focus of research about how we can be sure those interactions help us as individuals and as a society.

鈥淲e are going to increasingly interact with AI models in the future,鈥 said Jingwen Zhang, an associate professor of communication. 鈥淲e have to really think about the ideal scenario of how humans interact with them and how AI models are designed to benefit humans.鈥

Zhang studies how AI can help improve public health, and she has been experimenting with a chatbot that can motivate us to act. She and her research team designed an that crafts personalized, persuasive messages that help us make sure to get in our steps every day. The chatbot can be downloaded via app on any device.

In Zhang鈥檚 first field experiment with the technology, the AI chatbot delivered a single 10-minute conversation to the study鈥檚 participants. That single conversation increased people鈥檚 intention to exercise by 37%. According to Zhang, increasing the duration and dynamic nature of the interactions could have a much stronger effect.

Kenji Sagae, professor and chair in the Department of Linguistics, studies computational linguistics, and his focus is on how large language models (LLMs) impact society from a language perspective. A language isn鈥檛 only a vocabulary of words and structures of grammar to make meaning out of them. A language conveys culture.

In one project, Sagae is studying the cultural values contained in LLMs in terms of moral values. In one study, he and his research team have been asking participants to fill out questionnaires that help to define their values, which differ across cultures.

Sagae is measuring variations in cultural morals with the that can score an individual鈥檚 values in terms of harm/care, fairness/reciprocity, in-group/loyalty, authority/respect and purity/sanctity.

One of his findings is that LLMs are most likely to contain the moral values, or biases of the training data. For example, if the LLM is trained on web pages from the U.S., the embedded values in how it communicates with people from any part of the world will represent values from the U.S.

The way we communicate with AIs might also affect how we communicate with each other, and Sagae said that this isn鈥檛 by design. It鈥檚 a side effect. This is critically important, he said, because we are in a moment where more and more of our everyday interactions are with computers and not individual human beings. This could have its biggest impact on children, who are still learning how to communicate through language.

鈥淧eople are not looking seriously yet at what it means for kids to communicate with machines,鈥 said Sagae.

Children might grow up learning how to use language outside of a community context, which has always been the way we learn languages. Instead, they could learn more and more  how to use language from an entity that has no emotional connection to the world.

鈥淭here is certainly potential for us to benefit greatly from the technology,鈥 said Sagae, 鈥渂ut there is still a lot of work needed to get us to the understanding that will unlock that potential without unintended harm.鈥

Media Resources

Adapted from an , part of a series published by the College of Letters & Science magazine.

Alex Russell is a writer with the College of Letters & Science.

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