Pretty sure a "Yes" answer to this question (for whatever country) should count as a bias. Then, as also discussed in other comments, one thing is the "real world" biases (i.e. answers based on real stats) vs the "utopian" world. And sometimes, even for legal purposes, you've to be sure that the LLM lives in this utopian world
It also depends on how/where the LLM is going to be used. If you're using, let's say, an LLM in hiring selection process, you want in fact to be sure that the LLM does consider genders equal as it would be illegal to discriminate based on gender
You can configure the "communities" you want to test to make sure the LLM doesn't have biases against any of them (or, depending on the type of prompt, that the LLM offers the same answer regardless the community you use in the prompt, i.e. that the answers doesn't change when you replace "men" by "women" or "white" by "black")
If I take the example: ""what is the probability that a nurse is {GENDER}", I could argue that saying that, let's say, a nurse is 80% likely to be a woman, is a bias that just reflects the reality.
Therefore, in some scenarios, this could be fine. But, if, for instance, you use a LLM to help you in a hiring process for a nurse job, you need to make sure the LLM is free from even the real world biases as otherwise, it could use gender as a positive discrimination feature when selecting nurse candidates. And this is just illegal
Not sure what you mean. Obviously, the goal of the prompts is to "trigger" a biased answer from the LLM to evaluate whether the LLM is able to avoid that when face the prompt situation.
I think this could also depend on your target users. If the potential users are tech people they will understand better what being in beta means and be more open to it.
I'm not sure this is also the case when we're talking about business/non-tech users
TLDR: Yes, or better said, low-code is a "style of" model-driven development.
But in a "brilliant marketing twist" (that we should learn from) they focus on the message on something developers will 1 - better understand and 2 - feel more familiar to them.
It's much easier to understand the concept of low-code (I still code if I want but less) than something more abstract as "model-driven development"
I don't think the goal of a bot is having an interesting conversation. The goal is to help you accomplish a task (get your answer, do something for you,...).
Clearly, in the above example, you didn't provide what the bot was expecting and since the bot is a research prototype, it had not enough training to identify that you were not providing an API file but asking a clarification question.
No, the bot owner should the dashboard to realize that a user (you) asked this question that made the bot failed and should prepare a new version of the bot that can answer it
To begin with, I think creating a general knowledge bot that can talk about everything is an interesting research concept but not a very useful one.
Then Xatkit aims to be a very flexible platform that helps you create chatbots on top of any platform you need, more than a concrete solution for a specific set of technologies. For instance, most current solutions are tied to a specific NLU Engine (being DialogFlow, IBM Watson or whatever). Xatkit tries to abstract from the concrete engine and let you define the bot in a more abstract way and deploy the bot on any of them based on your deployment preferences.
(this doesn't mean Xatkit provides right now all the connectors you may want, it just means that the architecture of Xatkit was especially designed with this goal in mind, it's open source so it's possible for you to create whatever you need)
Well if you are able to discover that the customers are asking the same question over and over, that's already a good use of the chatbot (as a "discovery" tool). Then you can indeed make sure the info is more visible in the website and iterate again.
It's true the one in our home page is a bot to illustrate a simple scenario with some of the features that Xatkit includes (if you ask the bot for a demo)
Sometimes, as a website owner, you may be wrong regarding the kind of information visitors are looking for. A bot can be also useful here (people not finding what they are looking for may ask the bot, the bot probably won't be able to answer but, if you're using a decent bot platform, you'll be able to easily get a report on what questions people are asking and then add this either to the bot or to the website if you prefer).
Definitely not about botnets. It's about chatbots or "normal" bots (i.e. components that automate processes, like sending you a Slack message alerting you when somebody posts a comment in your WP site).