Firewall now logs all traffic to Harlequin which is then broken down into geographic source and categorized based on country of origin. Scraping bots were also isolated in metrics to increase accuracy of engagement metrics.
Pond will now show a maple leaf icon for posts originating in canada, while all others will have a globe to identify the comment as coming from abroad.
Consensus will now separate polls into source, either Canadian or foreign poll responses.
Board Meeting Summary
AI-powered summary of forum discussions for HILLHURST-SUNNYSIDE COMMUNITY ASSOCIATION
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The challenge with online forums
Forums are great at letting people talk. They're less great at helping communities act on what's being said.
Traditional forums become archives of opinion—valuable in the moment, forgotten within weeks. Important threads get buried. Recurring concerns go unnoticed by decision-makers. And the people who could address issues often don't have time to sift through hundreds of posts to understand what their community actually cares about.
What is FAE?
The Forum Analysis Engine is an AI-powered tool that helps community leaders stay informed about what matters to their members—without needing to read every post and thread.
FAE analyzes discussions across your community's forums and generates summaries that identify:
A Labour Market Impact Assessment (LMIA) is a document that a Canadian employer may need before hiring a foreign worker. The LMIA process is designed to verify that:
Employment and Social Development Canada (ESDC) issues LMIAs after reviewing employer applications.
A young professional sits in her car in the parking lot of her workplace, unable to bring herself to walk through the doors, her anxiety so overwhelming that even the thought of the conversations waiting inside makes her chest tighten and her breath shallow. She knows she needs help, has known for months, but when she called her family doctor, the earliest appointment was three weeks away. When she finally saw her doctor and received a referral to a psychiatrist, the wait was eight months.
A hospital deploys an AI system that triages emergency patients, determining who receives immediate attention and who waits. When a patient dies after being algorithmically deprioritized, the hospital claims the AI made the decision, the AI vendor claims the hospital misapplied the system, and the developers who trained the model claim they could not have anticipated this specific failure. No one is responsible, yet someone is dead.
A browser extension powered by machine learning automatically detects and blocks tracking scripts across thousands of websites, protecting a user who has no technical understanding of how tracking works. A privacy assistant reviews app permissions and suggests changes, explaining in plain language what each permission allows and why it might be risky. An AI-powered email filter identifies phishing attempts with accuracy exceeding human recognition. Another user installs a "privacy" app that blocks some trackers while itself collecting detailed behavioral data to sell to advertisers.
Morten Rand-Hendriksen explores the profound impact of language on our understanding of technology, particularly AI. Using humor and personal anecdotes, he reveals how AI, devoid of understanding or intent, operates purely through pattern recognition yet feels human-like due to the language we use. He explains how terms like “artificial intelligence” and metaphors such as "thinking" or "learning" distort our perceptions, fueling unnecessary fears about AI surpassing humanity. Morten emphasizes that technology is a choice shaped by how we describe and engage with it.