In a brightly colored South Philadelphia library classroom, typically adorned with alphabet rugs and child-friendly furniture, an unusual scene unfolded recently. Librarian Charlie Bailey, standing amidst cheerful learning aids, addressed a room of approximately twenty adults, not to teach them the fundamentals of literacy, but to guide them through the intricate process of disabling advanced artificial intelligence features on their personal devices. "Everybody’s on their phone at my program!" Bailey quipped, a wry observation that underscored the very subject of the hour-long session: reclaiming digital control in an increasingly AI-saturated world. This workshop, aptly named "Avoiding AI," symbolizes a growing public desire for autonomy over the pervasive integration of artificial intelligence into everyday technology.
The Genesis of a Movement: Librarians as Digital Autonomy Advocates
Bailey’s initiative was born from a widespread sentiment of user frustration. He articulated this motivation to TechCrunch, stating, "I was inspired by the feeling of people’s frustration with AI tools being kind of forced onto them, and feeling like AI tools we didn’t ask for are suddenly everywhere in our lives." This sentiment resonates deeply with many consumers who have witnessed a rapid acceleration in AI integration across various platforms and devices, often without clear opt-in mechanisms or straightforward ways to disengage.
The workshop itself is meticulously structured to empower attendees. Bailey commences with a foundational overview of how AI chatbots and other consumer-grade AI tools function. He delves into the potential benefits that might entice users, such as enhanced productivity or convenience, but critically, he also elucidates the compelling reasons why individuals might choose to abstain. Following this introductory segment, the session transitions into practical application. Using a projector, Bailey provides step-by-step instructions for navigating the settings of popular tech platforms and devices, guiding participants through the specific procedures required to deactivate unwanted AI functionalities, including newly introduced features like Apple Intelligence and Google’s Gemini.
Bailey views this educational endeavor as a natural extension of his professional role. "As a librarian, I think it’s important to see this as advancing digital literacy and helping people reclaim their autonomy over whether they want to use AI tools," he explained. He emphasized the urgency of this mission, particularly "when it can be so difficult not to use them, and when the design seems to force adoption." This perspective highlights a critical shift in digital literacy, moving beyond basic computer skills to encompass a more nuanced understanding of how to manage and even resist technological defaults.
The Maine Catalyst: Hannah Cyrus and the Origins of "Avoiding AI"
The concept for the "Avoiding AI" workshop did not originate in Philadelphia but found its catalyst over 500 miles away in Maine, through the pioneering work of librarian Hannah Cyrus. Cyrus, based at the Bangor Public Library, had observed a distinct pattern in the technology-related inquiries from her patrons. "More and more, I was getting questions about, ‘How do I turn this [AI] stuff off? Why is it trying to write my emails for me? Why is it trying to summarize my one-sentence email that I can easily read?’" Cyrus recounted to TechCrunch. This consistent feedback signaled a clear need for practical guidance on managing the influx of AI features.
Inspired by these recurring user concerns and perceiving a gap in public understanding amid intense media hype surrounding AI products, Cyrus developed her own workshop. Her goal was twofold: to educate people about the fundamental mechanisms of AI technology and, crucially, to equip them with the knowledge to disable these features if they so chose. She subsequently published a journal article detailing her methodology and the curriculum, which unexpectedly sparked a global phenomenon among her peers.
Cyrus expressed surprise at the enthusiastic response to her publication. "This has never happened before with anything I’ve worked on," she noted. "Nobody has ever been emailing me like, ‘Can you give me your Intro to Computers slides?’" This unprecedented interest saw dozens of librarians from around the world contacting her, eager to replicate her "Avoiding AI" workshop in their own communities. The demand for Cyrus’s initial workshops was equally remarkable. Her standard "Intro to Computers" classes typically attracted around a dozen attendees. However, for her inaugural "Avoiding AI" session, registration had to be capped at 30 participants, with a waiting list forming almost immediately. To accommodate the overwhelming interest, she facilitated a Zoom livestream, bringing the total attendance for each of her first two workshops to approximately 70 people. This surge in participation underscored a profound, unmet need within the community for practical guidance on navigating the complexities of AI.
A Groundswell of Demand: Philadelphia’s Response and National Implications
When Charlie Bailey followed Cyrus’s blueprint to host a similar workshop in Philadelphia, the reception mirrored, and perhaps even surpassed, the enthusiasm seen in Maine. The Free Library of Philadelphia’s Instagram post announcing the "Avoiding AI" event garnered over 2,000 likes and 220 shares, a stark contrast to the typical engagement of a few dozen likes for most of the library’s other posts. This viral response necessitated the scheduling of a second program almost immediately due to the sheer volume of registrations for the first.
The overwhelming public interest was a validation of Bailey’s instincts. "As an information professional, it feels good to see people skeptical of AI," Bailey remarked, reflecting on the community’s reaction. "It felt really good to see how many people share this feeling." This sentiment points to a collective awakening among technology users, a growing skepticism towards the default integration of advanced features, and a desire for greater agency in their digital lives.
Beyond Disabling: User Concerns and the Broader AI Landscape
The workshops foster a palpable sense of camaraderie among attendees, a shared experience of navigating an increasingly complex technological landscape. During Bailey’s workshop, participants actively contributed to the collective knowledge, with one individual sharing a valuable tip: appending "&udm=14" to a Google Search query can filter out AI-generated results. Bailey promptly transcribed this string of characters onto a whiteboard, placing it alongside the library’s teen Wi-Fi credentials—a symbolic juxtaposition of basic digital access and advanced digital self-defense.
The discussions among attendees revealed a range of underlying concerns driving their desire to avoid AI. Johnny, an attendee, voiced anxieties about the broader societal implications of AI infrastructure. "You have to go through all the trouble to buy a home in today’s world, and two years from now, there could be a data center next to your house," he remarked, alluding to the physical footprint and environmental impact of AI’s burgeoning demands. Gabrielle, another participant, highlighted the environmental toll directly. "I keep getting AI shoved down my throat at work, and every time I see it, I think about the environment," she stated. However, her perspective, like many others, was nuanced, not an outright rejection of the technology. She acknowledged, "I’m not against AI in terms of medical breakthroughs," indicating a desire for thoughtful, ethical application rather than wholesale dismissal.
This distinction is crucial. The burgeoning "anti-AI" sentiment, as articulated by both librarians and workshop attendees, is not a Luddite-esque rejection of technology. Hannah Cyrus emphasized this point, noting the utility of AI applications like optical character recognition for scanning historical documents in libraries. Instead, the movement advocates for enhanced control, agency, and freedom in how individuals interact with technology. "I think the forced adoption of AI on people’s devices might be the straw that’s breaking the camel’s back in some ways," Cyrus posited. She further elaborated that "the awareness has been growing for a long time that these products and these companies that make them have an outsized influence over us, and that we’re not really using these products in the way that we would like to." This speaks to a deeper yearning for technology that serves user needs and preferences, rather than dictating them.
The Pervasive Integration of AI: A Backgrounder
The current wave of public sentiment against "forced AI" is a direct response to a rapid and aggressive integration of artificial intelligence into consumer products over the past few years. While AI-powered features like voice assistants (e.g., Apple’s Siri, Google Assistant) have been commonplace for over a decade, the advent of generative AI models like OpenAI’s ChatGPT in late 2022 marked a significant inflection point. This technological leap ushered in a new era of AI capabilities, quickly followed by Google’s Bard (now Gemini) and Meta’s Llama models, pushing large language models (LLMs) into the public consciousness.
Tech giants, in a fierce race for market dominance, have since moved to embed these advanced AI capabilities directly into their operating systems and core applications. In 2024, Apple unveiled "Apple Intelligence," promising to integrate generative AI across its iPhone, iPad, and Mac platforms, offering features like AI-powered writing tools, image generation, and smarter Siri interactions. Google has similarly been aggressively integrating Gemini across its ecosystem, from Android devices to Workspace applications, often presenting these features as default enhancements. This strategic integration is driven by several factors: the pursuit of competitive advantage, the potential for new revenue streams through enhanced services, and the belief that AI will fundamentally redefine user interaction with technology, making devices more intuitive and personalized. However, this aggressive rollout often bypasses explicit user consent or provides only complex, multi-step opt-out processes, fueling the perception of "forced adoption."
The Unseen Costs: Data Privacy and Environmental Footprint
Beyond the immediate inconvenience of unwanted features, a significant driver of public concern relates to the profound implications for data privacy and the environment. AI models, particularly large language models, are trained on vast datasets, often scraped from the internet, which can include personal information. When these models are integrated into personal devices and cloud services, they continuously process user data—emails, messages, search queries, photos—to provide personalized assistance. This continuous data processing raises critical questions about user consent, data security, and the potential for surveillance or misuse.
While companies often claim anonymization and privacy safeguards, the sheer volume and sensitivity of data involved present inherent risks. Regulatory frameworks like the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) attempt to provide some protection, but the global nature of AI development and deployment often outpaces regulatory updates. Users are frequently left navigating complex privacy policies that few fully understand, leading to a sense of losing control over their own digital footprint. A 2023 survey by Pew Research Center found that 75% of Americans are concerned about companies using AI to collect their personal data, highlighting a broad societal apprehension.
Furthermore, the environmental cost of AI is becoming an increasingly urgent concern, as voiced by workshop attendees like Gabrielle. Training and running sophisticated AI models require immense computational power, which translates into substantial energy consumption. Data centers, the physical infrastructure housing AI servers, are energy-intensive, requiring vast amounts of electricity for processing and cooling. A single large AI model’s training can consume as much energy as several homes over a year, with daily inference operations adding significantly to this footprint. As AI becomes more ubiquitous, the demand for energy from these data centers is projected to skyrocket, contributing to carbon emissions and water usage for cooling. This environmental impact is often invisible to the end-user but represents a tangible cost of the AI revolution, prompting a segment of the public to question the necessity of every integrated AI feature.
The Digital Literacy Imperative: Libraries at the Forefront
Public libraries have long served as vital community anchors for digital literacy, providing access to computers, internet, and essential technology training for those on the wrong side of the digital divide. From teaching basic computer skills to assisting with online job applications, librarians have consistently adapted their roles to meet evolving community needs in the digital age. The emergence of "Avoiding AI" workshops signifies a new, critical evolution of this mission.
In an era where technology is increasingly designed to be opaque and defaults often favor company interests over individual control, libraries are stepping in to champion digital autonomy. They are transforming from mere providers of digital access to trusted educators in digital disengagement or selective engagement. Librarians, as information professionals, are uniquely positioned to offer impartial, fact-based guidance, free from commercial bias. They empower individuals not just to use technology, but to understand it critically, to question its pervasive presence, and to make informed choices about its role in their lives. This role becomes ever more crucial as the line between essential digital tools and intrusive, unnecessary AI features blurs.
Navigating the Future: Towards User Autonomy in the AI Era
The enthusiastic reception to "Avoiding AI" workshops in Philadelphia, Maine, and potentially across the globe, signals more than just a passing trend; it represents a nascent movement for digital self-determination. This is not a wholesale rejection of artificial intelligence, which holds immense promise in fields like medicine, scientific research, and complex problem-solving. Rather, it is a clear demand from the public for greater transparency, more granular control, and an ethical framework that prioritizes user agency over forced adoption.
The implications of this movement are significant. For technology companies, it serves as a powerful reminder that innovation must be balanced with user respect and choice. Designing products with clear, accessible opt-out mechanisms and providing robust privacy controls could become a differentiator in a competitive market. For policymakers, it underscores the urgent need for comprehensive regulations that address AI’s societal impact, from data privacy to environmental sustainability. And for individuals, it reinforces the importance of critical digital literacy—the ability to understand, evaluate, and control the technologies that shape our lives.
Ultimately, the workshops led by librarians like Charlie Bailey and Hannah Cyrus are equipping communities with the knowledge and tools to navigate the complexities of the AI era on their own terms. They are fostering a culture where technology is a servant, not a master, and where individuals retain the fundamental right to choose what level of AI integration they welcome into their digital and physical worlds. This push for digital autonomy, emerging from the quiet halls of public libraries, is poised to have a lasting impact on how we interact with technology in the decades to come.
