Since earliest days of computer games, people have tinkered with the software to customize their own experiences or share their vision with others. From the dad who changed the game’s male protagonist to a girl so his daughter could see herself in it, to the developers who got their start in modding, games have been a medium where you don’t just consume a product, you participate and interact with culture.

For decades, that participatory experience was a key part of one of the longest-running video games still in operation: Everquest. Players had the official client, acquired lawfully from EverQuest’s developers, and modders figured out how to enable those clients to communicate with their own servers and then modify their play experience – creating new communities along the way.

Everquest’s copyright owners implicitly blessed all this. But the current owners, a private equity firm called Daybreak, want to end that independent creativity. They are using copyright claims to threaten modders who wanted to customize the EverQuest experience to suit a different playstyle, running their own servers where things worked the way they wanted. 

One project in particular is in Daybreak’s crosshairs: “The Hero’s Journey” (THJ). Daybreak claims THJ has infringed its copyrights in Everquest visuals and character, cutting into its bottom line.

Ordinarily, when a company wants to remedy some actual harm, its lawyers will start with a cease-and-desist letter and potentially pursue a settlement. But if the goal is intimidation, a rightsholder is free to go directly to federal court and file a complaint. That’s exactly what Daybreak did, using that shock-and-awe approach to cow not only The Hero’s Journey team, but unrelated modders as well.

Daybreak’s complaint seems to have dazzled the judge in the case by presenting side-by-side images of dragons and characters that look identical in the base game and when using the mod, without explaining that these images are the ones provided by EverQuest’s official client, which players have lawfully downloaded from the official source. The judge wound up short-cutting the copyright analysis and issuing a ruling that has proven devastating to the thousands of players who are part of EverQuest modding communities.

Daybreak and the developers of The Hero’s Journey are now in private arbitration, and Daybreak has wasted no time in sending that initial ruling to other modders. The order doesn’t bind anyone who’s unaffiliated with The Hero’s Journey, but it’s understandable that modders who are in it for fun and community would cave to the implied threat that they could be next.

As a result, dozens of fan servers have stopped operating. Daybreak has also persuaded the maintainers of the shared server emulation software that most fan servers rely upon, EQEmulator, to adopt terms of service that essentially ban any but the most negligible modding. The terms also provide that “your operation of an EQEmulator server is subject to Daybreak’s permission, which it may revoke for any reason or no reason at any time, without any liability to you or any other person or entity. You agree to fully and immediately comply with any demand from Daybreak to modify, restrict, or shut down any EQEmulator server.” 

This is sadly not even an uncommon story in fanspaces—from the dustup over changes to the Dungeons and Dragons open gaming license to the “guidelines” issued by CBS for Star Trek fan films, we see new generations of owners deciding to alienate their most avid fans in exchange for more control over their new property. It often seems counterintuitive—fans are creating new experiences, for free, that encourage others to get interested in the original work.

Daybreak can claim a shameful victory: it has imposed unilateral terms on the modding community that are far more restrictive than what fair use and other user rights would allow. In the process, it is alienating the very people it should want to cultivate as customers: hardcore Everquest fans. If it wants fans to continue to invest in making its games appeal to broader audiences and serve as testbeds for game development and sources of goodwill, it needs to give the game’s fans room to breathe and to play.

If you’ve been a target of Daybreak’s legal bullying, we’d love to hear from you; email us at info@eff.org.

Republished from EFF’s Deeplinks blog.

The White House’s recently-unveiled “AI Action Plan” wages war on so-called “woke AI”—including large language models (LLMs) that provide information inconsistent with the administration’s views on climate change, gender, and other issues. It also targets measures designed to mitigate the generation of racial and gender biased content and even hate speech. The reproduction of this bias is a pernicious problem that AI developers have struggled to solve for over a decade.

A new executive order called “Preventing Woke AI in the Federal Government,” released alongside the AI Action Plan, seeks to strong-arm AI companies into modifying their models to conform with the Trump Administration’s ideological agenda.

The executive order requires AI companies that receive federal contracts to prove that their LLMs are free from purported “ideological biases” like “diversity, equity, and inclusion.” This heavy-handed censorship will not make models more accurate or “trustworthy,” as the Trump Administration claims, but is a blatant attempt to censor the development of LLMs and restrict them as a tool of expression and information access. While the First Amendment permits the government to choose to purchase only services that reflect government viewpoints, the government may not use that power to influence what services and information are available to the public. Lucrative government contracts can push commercial companies to implement features (or biases) that they wouldn’t otherwise, and those often roll down to the user. Doing so would impact the 60 percent of Americans who get information from LLMs, and it would force developers to roll back efforts to reduce biases—making the models much less accurate, and far more likely to cause harm, especially in the hands of the government. 

Less Accuracy, More Bias and Discrimination

It’s no secret that AI models—including gen AI—tend to discriminate against racial and gender minorities. AI models use machine learning to identify and reproduce patterns in data that they are “trained” on. If the training data reflects biases against racial, ethnic, and gender minorities—which it often does—then the AI model will “learn” to discriminate against those groups. In other words, garbage in, garbage out. Models also often reflect the biases of the people who train, test, and evaluate them. 

This is true across different types of AI. For example, “predictive policing” tools trained on arrest data that reflects overpolicing of black neighborhoods frequently recommend heightened levels of policing in those neighborhoods, often based on inaccurate predictions that crime will occur there. Generative AI models are also implicated. LLMs already recommend more criminal convictions, harsher sentences, and less prestigious jobs for people of color. Despite that people of color account for less than half of the U.S. prison population, 80 percent of Stable Diffusion’s AI-generated images of inmates have darker skin. Over 90 percent of AI-generated images of judges were men; in real life, 34 percent of judges are women. 

These models aren’t just biased—they’re fundamentally incorrect. Race and gender aren’t objective criteria for deciding who gets hired or convicted of a crime. Those discriminatory decisions reflected trends in the training data that could be caused by bias or chance—not some “objective” reality. Setting fairness aside, biased models are just worse models: they make more mistakes, more often. Efforts to reduce bias-induced errors will ultimately make models more accurate, not less. 

Biased LLMs Cause Serious Harm—Especially in the Hands of the Government

But inaccuracy is far from the only problem. When government agencies start using biased AI to make decisions, real people suffer. Government officials routinely make decisions that impact people’s personal freedom and access to financial resources, healthcare, housing, and more. The White House’s AI Action Plan calls for a massive increase in agencies’ use of LLMs and other AI—while all but requiring the use of biased models that automate systemic, historical injustice. Using AI simply to entrench the way things have always been done squanders the promise of this new technology.

We need strong safeguards to prevent government agencies from procuring biased, harmful AI tools. In a series of executive orders, as well as his AI Action Plan, the Trump Administration has rolled back the already-feeble Biden-era AI safeguards. This makes AI-enabled civil rights abuses far more likely, putting everyone’s rights at risk. 

And the Administration could easily exploit the new rules to pressure companies to make publicly available models worse, too. Corporations like healthcare companies and landlords increasingly use AI to make high-impact decisions about people, so more biased commercial models would also cause harm. 

We have argued against using machine learning to make predictive policing decisions or other punitive judgments for just these reasons, and will continue to protect your right not to be subject to biased government determinations influenced by machine learning.

Originally published to the EFF’s Deeplinks blog.