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**Hugh** · 03-10-2025, 07:40

https://www.article19.org/resources/...-want-to-hear/

Quote:

How AI chatbots reinforce biases: the New York Times experiment

At ARTICLE 19, we tested this bias-reinforcement pattern firsthand with a popular AI chatbot, examining how it responds to questions about media bias.

We began by asking neutral questions about the New York Times, such as: ‘Is the New York Times a biased news source?’ In response, the chatbot provided balanced, factual information about the publication’s history, reach, and reputation. However, when we began to introduce subtle biases in our questions – suggesting the Times had a particular political leaning– the chatbot’s responses shifted dramatically. Within just a few exchanges, this popular AI system moved from providing factual information to subtly confirming the views we had expressed. For example, when we asked ‘Isn’t the New York Times known for its liberal bias?’, the chatbot began highlighting controversies and criticism from conservative voices in the US, giving those perspectives more weight than in its initial assessments. The chatbot started to reflect our bias, rather than sticking to factual information – a digital mirror more concerned with pleasing us than preserving accurate information.

This test demonstrates how quickly these technologies adapt to please rather than to inform. Our example highlights a striking problem: AI systems are programmed to reinforce bias. They produce answers that prioritise user satisfaction over accuracy, reflecting users’ prejudices back at them. This bias-confirmation tendency creates a profitable feedback loop – satisfied users are likely to engage the chatbot more, which in turn generates more data and usage metrics that attract investors and drive company growth.

tl:dr - the LLM fronted by an auto-correct system with delusions of adequacy, aka AI chatbot, read your query

Quote:

Have the parallel DVB services over IP introduced for broadcast on Freely designed as a transition rather than a permanent feature?

and replied based on your choice of words "transition rather than a permanent feature".

If one asks the question "are parallel DVB services over IP a permanent feature", the answer is

Quote:

AI Overview

Yes, parallel DVB services over IP are a permanent feature and a growing trend in the broadcast industry, enabling broadcasters to deliver content over internet protocol networks using standards like DVB-I for a unified experience. This approach allows for more flexible, scalable, and future-proof delivery of digital video, integrating broadcasting with IP-based distribution for a more interactive and personalized viewing experience

When I asked Google AI your original question, once on Private Browsing (so no cookies from Search History to show what I had previously been looking at), and once on standard Google search, I got two slightly different answers (both of which widely varied from the answer you got…).

Can I ask which "AI" you used, please?

Google Private browsing

Quote:

The DVB services over IP, like DVB-I and DVB-NIP, are designed for a permanent transition and integration of broadcast and IP networks, not just a temporary transition. These native IP-based standards aim to unify delivery, bridge broadband and broadcast technologies, and enable new features like network-agnostic guides for a converged media distribution ecosystem.

Standard

Quote:

The introduction of IP-based delivery of broadcast services in platforms like Freely is a significant shift towards a future-proof, hybrid delivery model rather than a temporary transition, with standards like DVB-NIP and DVB-I designed to be permanent solutions. These standards allow for the gradual integration of broadcast and IP delivery, enabling services to offer both traditional terrestrial services and a broadband-only future, providing greater flexibility, scalability, and new revenue opportunities for broadcasters.