Sinan Ülgen
The Information Age has ushered in a new relationship between humanity and technology. With an unprecedented rate of globalization, accessing people, jobs, and cultures in different parts of the world has never been easier. This era has also radically changed people’s behavior toward the news. Humans have become increasingly reliant on the internet—and the digital world at large—for accessing information. Notoriously, the rise of social and digital media has discouraged attention on detailed analysis while encouraging the immediate extraction of information.
Over the past decade, huge leaps in artificial intelligence (AI), machine learning, and large language models (LLMs) have had direct implications for the way humanity obtains information. Generative AI (GenAI), with its capacity to write sophisticated text that is indistinguishable from that produced by humans, has massive practical applications. Able to generate anything from analyses, commentaries, and essays to poems, images, and puns, GenAI models are skillful writers. With their embedded AI architecture, LLMs can aggregate the overwhelming volume of information available online and generate detailed summaries.
However, the danger lies in the impressive self-assuredness of these models’ output, much of which may be misinformed, fabricated, or biased. As humans’ interactions with such models inevitably become more frequent, the policy community should consider several areas of urgent action, including greater transparency in GenAI training, an LLM digital literacy program, and techniques to better understand the inherent biases of GenAI tools.
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