Is this a mistrust of technology? Perhaps the AirTag is not valuable enough by itself?

https://9to5mac.com/2023/07/24/airtag-police-motorcycle/

Chicago man tracks down stolen motorcycle with AirTag, but police can’t help recover it

AirTags are great for finding lost bags, pets, and keys. Apple’s item tracker, however, is no match for property theft — especially when vehicles are involved.

Take this news bulletin out of Chicago, for example, where someone tracked down their stolen motorcycle using Find My.

The owner knows exactly where the bike was taken, thanks to the AirTag under the seat. However, police can only respond if the bike is seen out in the open.

For the auditor in me.

https://www.bespacific.com/tips-for-investigating-algorithm-harm-and-avoiding-ai-hype/

Tips for Investigating Algorithm Harm and Avoiding AI Hype

Rowan Philp, GIJN senior reporter: “…In a recent article for the Columbia Journalism Review, Schellmann, Kapoor, and Dallas Morning News reporter Ari Sen explained that AI “machine learning” systems are neither sentient nor independent. Instead, these systems differ from past computer models because, rather than following a set of digital rules, they can “recognize patterns in data.” “While details vary, supervised learning tools are essentially all just computers learning patterns from labeled data,” they wrote. They warned that futuristic-sounding processes like “self-supervised learning” — a technique used by ChatGPT — do not denote independent thinking, but merely automated labeling. “Performance of AI systems is systematically exaggerated… there are conflicts of interest, bias, and accountability issues to watch.” — Sayash Kapoor, Princeton University computer science Ph.D. candidate. So the data labels and annotations that train algorithms — a largely human-driven process that coaches the computer to find similar things — are a major source of questions for investigative reporters on this beat. Do the labels represent the whole population affected by the algorithm? Who entered those labels? Were they audited? Do the training labels embed historic discrimination? For instance, if you simply asked a basic hiring algorithm to evaluate job applicants for a long-standing engineering company, it would likely discriminate against female candidates, because the data it has for most prior hires would most likely overwhelmingly feature “male” labels..”

An interesting new technology…

https://www.makeuseof.com/benefits-of-ipfs-that-make-it-the-future-of-web/

The 7 Benefits of IPFS That Make It the Future of the Web

The Interplanetary File System (IPFS) is a revolutionary protocol that mimics a blockchain design to decentralize data storage. Juan Benet created it to make Filecoin more open and faster, but over time, it has found so many applications in other niches.

1. Decentralization

Traditional data storage methods which rely on centralized servers are susceptible to outages. That's a challenge that has long plagued the current version of the internet. IPFS brings decentralization to data storage as it adopts a peer-to-peer model where each node in a network has a copy of data, just like on a blockchain.