Raw LLM — Corpus Dashboard

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G AI needs an ethics sub-routine or limits, or it will become a petulant child in … ytc_Ugx07ASuf… G We've said 'NO' ... over and over. We all know about Revelations. We all know a… ytc_UgyAphtYy… G I genuinely can't tell if this is satire, but if not then: Only a little bit of … ytr_UgxdjvGtf… G oh great! all different visions and versions of AI to go to battle with each oth… ytc_UgzNIRt9m… G "Generous UBI payments" Mmm yeah nah. The AI might try, but human greed, power, … ytc_UgzCimXgi… G If Neurolink is a bit late to the party with Ai ahead somewhat , can you explain… ytc_UgyyKiEN1… G @laurentiuvladutmanea everything will be automated eventually which can be a go… ytr_UgxbkuBhZ… G Most these business owners are weird, I don’t blame Ai tryna expose them 😂 it mi… ytc_UgyPrhN5P…

Comment

Here are some current examples of AI colonialisms: 1. **Data Privacy Violations**: Companies like Facebook and Google have faced backlash for their handling of data from users in developing countries, often collecting information without proper consent or fair compensation. 2. **Cultural Bias in AI**: AI tools like facial recognition systems and language translators have been shown to have biases. For instance, facial recognition technology often performs less accurately on people of color, reflecting a lack of diverse data and testing. 3. **Tech Monopolies**: Major AI companies, primarily based in wealthy countries, dominate the global market. This concentration of power can leave developing nations with limited access to advanced technologies and benefits. 4. **Surveillance in Authoritarian Regimes**: In countries like China, AI technologies are used for extensive surveillance and social control. For example, the use of AI for monitoring and scoring citizens' behavior can be seen as a modern form of control akin to colonial practices.

youtube AI Moral Status 2024-09-15T07:3…

Coding Result

Dimension	Value
Responsibility	company
Reasoning	consequentialist
Policy	liability
Emotion	outrage
Coded at	2026-04-27T06:24:53.388235

Raw LLM Response

[
{"id":"ytr_UgzeQ2JBsMOengIJupV4AaABAg.AFYvhRvLMPnAK0TF4MXcOJ","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytr_UgzsIlLYSBrs0DhN2Ut4AaABAg.AEIp8hWh0xlAEIpnNcbSBg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytr_Ugx275bEqujcaKxr4LB4AaABAg.ADhtrCEu5wpADhwUk9FrBz","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytr_UgxGF_vF24USQ7tZ08p4AaABAg.ADGlFlrr2LTADNVTR1fwuk","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugxka0mLV99NGlwcqYB4AaABAg.ACJBGWg91krACaqvKqEYsK","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytr_UgxAcypnoMksXB99IKp4AaABAg.A77oFpOGSwfA8P-xCzOvul","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytr_UgyOGV90rfKTuI64xdp4AaABAg.A4ymI3OxRXhA5Ay6aFoql8","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytr_UgyOGV90rfKTuI64xdp4AaABAg.A4ymI3OxRXhA5B35ciwRMs","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytr_UgwG48pZxzgTqkeS-3Z4AaABAg.A4luQ5zCbSaA4peQiIOxnb","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytr_UgyJsDM2w8SWesruqRR4AaABAg.A3MQUaegoOEA3va28J1pl0","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"}
]

Raw LLM Responses