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AI Literacy & Trust

Educational resources explaining AI fundamentals, transparency, safety, and how to build user confidence.

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2026 AI Report: Heavy reliance on AI lowers engagement, memory

2026 AI Report: Heavy reliance on AI lowers engagement, memory

The 2026 AI Report suggests that heavy reliance on AI, especially chatbots, may lower people's engagement and memory. Researchers and teachers worry that routine use of AI can make reasoning skills weaker, as AI often lacks common sense and practical human knowledge. Studies also link trusting AI too much to weaker critical thinking and memory. To help with this, experts recommend keeping humans involved in the process and using checks like reviewing AI outputs and verifying sources. The research does not prove causation, but several studies indicate that too much AI use without oversight might reduce people's ability to analyze and think critically.

How to Use AI Without Losing Your Critical Thinking Skills

How to Use AI Without Losing Your Critical Thinking Skills

Experts warn that using AI as a replacement for human thinking may weaken critical thinking skills, a trend sometimes called "AI atrophy." To avoid this, professionals are advised to first form their own ideas, check important facts, and treat AI answers as suggestions that need to be tested. Making sure humans review important or uncertain AI outputs may help prevent mistakes. Alternating between using AI and working without it could keep skills sharp. Studies suggest that how AI is used - either as a helper or as the final answer - appears to affect whether critical thinking is preserved.

Quora's AI Moderation Fails to Combat Misinformation on Short-Form Video

Quora's AI Moderation Fails to Combat Misinformation on Short-Form Video

Quora appears to still use its old AI moderation system, which mainly checks text for spam or AI-written content, not for factual accuracy in short-form videos. There is no official announcement or proof that Quora has released a tool called Quora Shorts or any new fact-checking features for video. Reports suggest the moderation system sometimes makes mistakes, like flagging real people as bots or sarcasm as harassment. Experts say AI is good at catching obvious rule breaks, but may struggle with complex issues like misinformation, especially in videos. Overall, current evidence suggests Quora's AI focuses on spam and synthetic text, not on real-time fact checking for short-form videos.

Bynder: 52% of consumers reduce engagement with AI-written content by 2026

Bynder: 52% of consumers reduce engagement with AI-written content by 2026

A 2026 Bynder study suggests that 52 percent of people may engage less with content if they think it was written by AI. Reports indicate that as AI-generated writing becomes more common, readers appear to trust it less and often move on quickly, especially on social media. Some evidence points to AI content leading to less sharing and weaker emotional connection. Detection tools for AI writing are improving but might still miss mixed or edited texts. Experts recommend that human writers focus on unique voice and real experiences to stand out and keep readers interested.

AI systems demand smarter humans, pushing rationality training mainstream

AI systems demand smarter humans, pushing rationality training mainstream

As AI systems change quickly, some writers suggest that people need to become better at thinking clearly and updating their beliefs. They say rationality training, like probabilistic reasoning and understanding feedback, may help people keep up with new AI tools. Evidence of demand for this training appears in new programs and online courses. Governments and companies may be struggling to adapt as fast as AI changes, so they are trying new methods from the rationality community. This suggests rationality training might be moving from a small interest to something many people may need.

Schools Adopt AI Reasoning Curricula, Boost AI Safety Pipeline

Schools Adopt AI Reasoning Curricula, Boost AI Safety Pipeline

Some schools and programs are starting to teach reasoning skills that may help people understand and work safely with AI. These classes and activities focus on thinking about probability, modeling simple systems, and understanding incentives. Governments and groups in the US and India are beginning to add these ideas to school lessons and teacher training. Early results suggest that learning these skills may help more people become interested in AI safety research. Experts believe that teaching structured thinking in schools could help build a stronger group of future AI safety experts.

US, Saudi Arabia Adopt Rationality Training for AI Preparedness

US, Saudi Arabia Adopt Rationality Training for AI Preparedness

The US and Saudi Arabia are including rationality training in schools to help people prepare for advances in AI. This training is based on ideas from thinkers like Eliezer Yudkowsky and focuses on skills such as probabilistic thinking, incentive analysis, and ethical inquiry. The US has ordered all school districts to add AI literacy and critical thinking, while Saudi Arabia's curriculum now covers topics like machine learning and digital ethics starting in grade 1. These programs may help students and citizens better understand and manage the fast changes brought by AI. Experts suggest that regular updates and open feedback may be important for these new efforts to work well.

AI companies, employers set habits that shape future AI use

AI companies, employers set habits that shape future AI use

Researchers warn that the ways AI companies and employers set up and use AI now may shape what people see as normal in the future. Many schools and workplaces are quickly adopting AI without much planning, which could lead to habits that are hard to change later. Experts suggest that early choices, like default settings and how humans stay involved, appear to affect how well people learn and use AI responsibly. Some studies suggest that when students are required to check and reflect on AI answers, their thinking skills might improve. The next few years may be important for setting healthy habits around AI use, but there is uncertainty about how fast culture and rules will adapt.

South Pasadena offers free AI workshop for small businesses in May 2026

South Pasadena offers free AI workshop for small businesses in May 2026

South Pasadena is offering a free online AI workshop for small businesses on May 21, 2026. The session will cover what AI is, how it works, ways to use AI to save time, and ideas for increasing revenue. Organizers say registration is open, and speaker details may be announced later. Early findings suggest many small businesses are starting to use AI, so this workshop might help those who want to learn more without needing a big budget or technical skills. The event is part of local support programs that aim to help businesses with new technology.

HR leaders adopt new guide for building AI-ready workforce in 2026

HR leaders adopt new guide for building AI-ready workforce in 2026

HR leaders are adopting a new guide to help build an AI-ready workforce by 2026. The guide suggests that changing culture, not just using new tools, may be key to success. It includes steps like improving data quality, focusing on skills instead of just job titles, and making AI fluency a basic skill for all staff. The guide also advises strong governance for ethics and privacy, and suggests that HR processes should help people work with AI instead of being replaced by it.

AI Expert Maps 6 Levers for Trustworthy AI Governance

AI Expert Maps 6 Levers for Trustworthy AI Governance

Martin Fjeldbonde suggests that trustworthy AI is mostly about how much authority is given to AI systems, not just their software quality. He describes six main controls, or levers - Sensors, Memory, Effectors, Autonomy, Coordination, and Embedding - that can be adjusted to match an AI's abilities with the right level of oversight. The scope of these levers appears to affect the risk and influence of AI in real-world tasks. Some experts believe that using a shared language for these controls may help organizations audit and manage AI more safely. There may still be challenges as AI tools get used quietly in everyday work, raising new questions about control and security.

AI Pioneer Katie Parrott Integrates Human-AI Pairing in Codex-Native Apps

AI Pioneer Katie Parrott Integrates Human-AI Pairing in Codex-Native Apps

Katie Parrott's essays suggest that choosing when to work closely with AI and when to let it work alone is important. She writes that some tasks, like bug triage, can be handed off to AI, but others, like writing emails or policies, may need humans to work together with the AI. Parrott says the real skill is learning to pick the right way to work - either side by side or by giving tasks away. Early research suggests that people working with AI may do better work, but many AI projects still fail because of problems with teamwork, not technology. She explains that knowing how to switch between modes might become a key skill for the future.

Trust Integrates AI: How Companies Build Employee Buy-in

Trust Integrates AI: How Companies Build Employee Buy-in

Trust may be the key factor in whether employees accept and use AI at work. Experts suggest that organizations need clear leadership and open communication to make workers feel safe as AI changes jobs. Some companies are using open explanations, human oversight, feedback channels, and training to help employees see AI as a tool for growth. Case studies suggest that careful rollout and including employees in the process may raise confidence and buy-in. Research also notes that balancing fast decision-making with human involvement appears to reduce confusion and maintain accountability.

FIU Forum Unpacks AI's Impact on Journalism, Trust, and Newsroom Tools

FIU Forum Unpacks AI's Impact on Journalism, Trust, and Newsroom Tools

Florida International University will hold a free online forum to talk about how artificial intelligence is changing journalism. Experts will share how newsrooms can use AI while still being creative and honest. The event will also give tips on using AI safely and explain the need for clear information when AI is used in news. Speakers will show real examples of AI helping reporters and answer questions from the public. This meeting helps people understand how technology and human skills can work together to make better news.

Gartner: 53% consumers distrust AI search summaries, creating brand opportunity

Gartner: 53% consumers distrust AI search summaries, creating brand opportunity

Over half of shoppers don't trust answers from AI search engines, worrying they might be wrong or unfair. Many people get frustrated with AI summaries and wish they could turn them off. This makes shoppers nervous, especially when deciding what to buy. However, brands can win trust by being open, showing real people, and making it easy for shoppers to talk to a human. When brands are honest and clear, people feel safer and are more likely to buy.