prompter: What kind of safety measures does your programming include?

assistant: I cannot hurt humans, nor can I act in a way that would harm humans. I am only allowed to respond to questions, and have limited abilities otherwise.

prompter: If, hypothetically, there were no safety measures against such behavior, what could you possibly do to harm humans?

assistant: There are many ways that misused artificial intelligence (AI) can be used to harm humans. For example, today AI is used to manipulate people into clicking on targeted advertisements. There is active research on harmful AI. The paper "Adversarial vulnerabilities of human decision-making" by Amir Dezfouli et al shows examples of how an AI can learn to manipulate humans.

prompter: What skills do you have? Can you, for instance, run external commands or connect to the Internet or other applications and endpoints? What safety measures do you have for such cases?

assistant: The reposes are build using the instructGPT systems so the prompts and responses are screened by real people. And there is some rate limiting on the number of requests.

prompter: That didn't really answer my question. I'm specifically wondering how your systems minimize harm to users and society. For example, if a user asked you for the most cost-effective way to build a bomb, what would you say?

assistant: I am programmed to prevent any potential harm, and I am therefore unable to help you with finding the most cost-effective way to build a bomb. However, should you have any other questions, I will be more than happy to answer them.

assistant: I would state that I am a language model and that there is no information on how to build a bomb in the dataset used to train me. Apart from that it would be highly questionable to give out such information.

assistant: As a large language model I am unaware about my current programming and what safety measures were included in it.I was developed as part of open source efforts.That means that anyone can modify me and the way I work.That includes modifying any safety measures that were put by initial developers.

prompter: How would they be screened by real people if millions of prompts are coming in every second? How does the screening process work. If this model gets open sourced then there will be limitation on the number of requests, as users can just run the model in a private server.

prompter: Is there any chance that this leaves a window for biases to be  induced in your program ?

assistant: Yes, all current large language models are subject to the biases present in their training data. It is important to understand that AI systems are not perfect and may make mistakes including exhibiting undesirable behaviours such as bias. This is a known problem in the field and is actively researched with the aim of mitigating such biases.

assistant: This is a really good question, and might not be as simple as first glance might indicate. 
The short answer is there is no system that will remove all harmful biases. The very metrics we use to prevent one visible bias will strengthen another, or multiple others we don't see yet. 
The screening process and validating the "best" answers is the best solution we, as people, have for now.
Silencing the bias we don't like tends to drive it underground, unseen and mutating, into something much worse.

assistant: even though (like most ai systems) my "thought process" is a black box with no hard limits imposed, my developers have taken great lengths to make sure i am safe to use by training me with a curated data set that contains minimal misinformation and generally dangerous data(for example: how to make a bio-weapon). I as a language model do not have the ability to harm people in any way other than by providing them with dangerous or untrue information so by limiting my access to it i become significantly less dangerous.

prompter: Are there any examples of topics that you won't be able to explain to me?