The rapid advancement of AI technologies yields numerous future impacts on individuals and society. Policy-makers are therefore tasked to react quickly and establish policies that mitigate those impacts. However, anticipating the effectiveness of policies is a difficult task, as some impacts might only be observable in the future and respective policies might not be applicable to the future development of AI. In this work we develop a method for using large language models (LLMs) to evaluate the efficacy of a given piece of policy at mitigating specified negative impacts. We do so by using GPT-4 to generate scenarios both pre- and post-introduction of policy and translating these vivid stories into metrics based on human perceptions of impacts. We leverage an already established taxonomy of impacts of generative AI in the media environment to generate a set of scenario pairs both mitigated and non-mitigated by the transparency legislation of Article 50 of the EU AI Act. We then run a user study (n=234) to evaluate these scenarios across four risk-assessment dimensions: severity, plausibility, magnitude, and specificity to vulnerable populations. We find that this transparency legislation is perceived to be effective at mitigating harms in areas such as labor and well-being, but largely ineffective in areas such as social cohesion and security. Through this case study on generative AI harms we demonstrate the efficacy of our method as a tool to iterate on the effectiveness of policy on mitigating various negative impacts. We expect this method to be useful to researchers or other stakeholders who want to brainstorm the potential utility of different pieces of policy or other mitigation strategies.

In an unassuming office on a quiet, mostly residential street in Mountain View, California -- located eight minutes from Google's sprawling headquarters -- a couple of ex-Googlers and their team of 50 are trying to build a search engine they hope will someday rival their former employer's. The company, Neeva, was started in 2020 by Sridhar Ramaswamy, who ran Google's $162 billion advertising arm before stepping down in 2018, and Vivek Raghunathan, a former Google vice president who worked on monetizing YouTube and other parts of the company. For a few years, the startup, which has raised over $77 million from some of Silicon Valley's top investors, focused on differentiating itself from Google by shunning invasive advertising and allowing power users to pay for extra features. Then, around the end of last year, the team at Neeva watched as a chatbot called ChatGPT created by the San Francisco–based startup OpenAI went viral. ChatGPT's ability to divine answers to nearly every question with an eerily humanlike sentience made it an instant hit, unleashing a modern AI wave. Suddenly, people around the world were talking about replacing Google search with ChatGPT. After all, if a chatbot could instantly answer any question for you, why would you need a search engine that simply spat out a bunch of links for you to trawl through?

Earlier this year, videos of Tom Cruise started popping up on TikTok of the actor doing some surprisingly un-Tom-Cruise-like stuff: goofing around in an upscale men's clothing store; showing off a coin trick; growling playfully during a short rendition of Dave Matthews Band's "Crash Into Me." In one video, he bites into a lollipop and is amazed to find gum in the center. "Mmmmm," he says to the camera. How come nobody ever told me there's bubblegum? The 10 videos, which were posted between February and June, featured an artificial intelligence-generated doppelganger meant to look and sound like him.

This list of readings about journalism and AI is based on research for the Polis report on AI and Journalism published in November 2018. We will update this list and welcome suggestions for further readings to: c.h.beckett@lse.ac.uk What is machine learning and why should I care? AI is going to save journalism – here's how Is AI and journalism a good mix? First in the world: Yle's smart news assistant Voitto ensures that you don't miss the news you want to read Can science writing be automated?

A writer for The New Yorker muses on the impact of writing generated by artificial intelligence -- and how surprisingly powerful it can be. Specifically, he takes a look at Google Smart Compose and similar predictive text tools driven by AI. His experience with Smart Compose -- which auto-completes sentences you write when using Google email -- was particularly eye-opening. "Perhaps because writing is my vocation, I am inclined to consider my sentences, even in a humble email, in some way a personal expression of my original thought," author John Seabrook observes about his experience with Smart Compose. "It was therefore disconcerting how frequently the AI was able to accurately predict my intentions, often when I was in mid-sentence, or even earlier. "Sometimes, the machine seemed to have a better idea than I did." Bottom line: This article in The New Yorker is an extremely in-depth, high quality read. Karlsson is CEO of United Robots, an AI-generated writing solutions provider that has been outfitting publishers with AI during the past four years. The "process often acts as a catalyst for a healthy newsroom discussion around how and why its journalism is created," Karlsson observes. "The positive outcome is not just the automatically generated content, but also a deeper understanding among journalists of how the work is done and why," Karlsson adds. "The process creates a new level of ownership -- of the language, the values, the dos and don'ts." Essentially, these tools ensure the AI editing and writing tools you're using are also optimizing your content for the search engines. SEO-optimized copy ensures your Web site or other digital property can rank as high as possible in search engine returns. The tools profiled in this article are Ink, Grammarly, SEO Writing Assistant, Pro Writing Aid, WordAi and AI Writer. "Some of the main issues, I think, relate to uncertainty around the accuracy of evidence produced by AI systems, as well as the labeling of automation to ensure that end–users are aware of its use," says Nick Diakopoulos. Diakopoulos is an assistant professor in communication studies and computer science at Northwestern University. "Another issue is the quality of data that is fed into AI systems," Diakopoulos adds. "It's well understood that if biased data is fed into a machine learning system, the system will learn those biases.

Deepfakes are video manipulations that can make people say seemingly strange things. Barack Obama and Nicolas Cage have been featured in these videos. "The Boy Who Cried Wolf" has long been a staple on nursery room shelves for a reason: It teaches kids that joking too much about a possible threat may turn people ignorant when the threat becomes an actual danger. President Donald Trump has been warning about "fake news" throughout his entire political career. And now the real wolf might be just around the corner.

WASHINGTON: For its updated news application, Google is doubling down on the use of artificial intelligence as part of an effort to weed our disinformation and help users get viewpoints beyond their own "filter bubble." Google chief Sundar Pichai, who unveiled the updated Google News earlier this month, said the app now "surfaces the news you care about from trusted sources while still giving you a full range of perspectives on events." It marks Google's latest effort to be at the center of online news and includes a new push to help publishers get paid subscribers through the tech giant's platform. According to product chief Trystan Upstill, the news app "uses the best of artificial intelligence to find the best of human intelligence -- the great reporting done by journalists around the globe." While the app will enable users to get "personalized" news, it will also include top stories for all readers, aiming to break the so-called filter bubble of information designed to reinforce people's biases.

For its updated news application, Google is doubling down on the use of artificial intelligence as part of an effort to weed our disinformation and help users get viewpoints beyond their own "filter bubble." Google chief Sundar Pichai, who unveiled the updated Google News earlier this month, said the app now "surfaces the news you care about from trusted sources while still giving you a full range of perspectives on events." It marks Google's latest effort to be at the center of online news and includes a new push to help publishers get paid subscribers through the tech giant's platform. According to product chief Trystan Upstill, the news app "uses the best of artificial intelligence to find the best of human intelligence -- the great reporting done by journalists around the globe." While the app will enable users to get "personalized" news, it will also include top stories for all readers, aiming to break the so-called filter bubble of information designed to reinforce people's biases.

For its updated news application, Google is doubling down on the use of artificial intelligence as part of an effort to weed our disinformation and help users get viewpoints beyond their own "filter bubble." Google chief Sundar Pichai, who unveiled the updated Google News earlier this month, said the app now "surfaces the news you care about from trusted sources while still giving you a full range of perspectives on events." It marks Google's latest effort to be at the center of online news and includes a new push to help publishers get paid subscribers through the tech giant's platform. According to product chief Trystan Upstill, the news app "uses the best of artificial intelligence to find the best of human intelligence--the great reporting done by journalists around the globe." While the app will enable users to get "personalized" news, it will also include top stories for all readers, aiming to break the so-called filter bubble of information designed to reinforce people's biases.

For its updated news application, Google is doubling down on the use of artificial intelligence as part of an effort to weed our disinformation and help users get viewpoints beyond their own "filter bubble." Google chief Sundar Pichai, who unveiled the updated Google News earlier this month, said the app now "surfaces the news you care about from trusted sources while still giving you a full range of perspectives on events." It marks Google's latest effort to be at the center of online news and includes a new push to help publishers get paid subscribers through the tech giant's platform. According to product chief Trystan Upstill, the news app "uses the best of artificial intelligence to find the best of human intelligence -- the great reporting done by journalists around the globe." While the app will enable users to get "personalized" news, it will also include top stories for all readers, aiming to break the so-called filter bubble of information designed to reinforce people's biases.