Artificial Intelligence Intellect

Artificial Intelligence (AI) should be called Artificial Intellect as its models have aquired a large volume of knowledge from the Internet, but it is not yet that intelligent and can be biased.

AI has become an essential part of our modern world, and its use has grown exponentially in recent years. AI technology has many advantages that are contributing to the growth of various sectors, but its potential dangers also cannot be overlooked. Either we stay on top of AI or it may get on top of you.

AI still faces a few challenges. Let's look at some now.

Data Aquisition

AI systems "ingest" the data provided to them and store it in "models" for what it assumes to be the real world. This is very resource intensive. Various organisations like Meta (Facebook), Microsoft, or OpenAI, have published large language models (LLM) for download and offline use. Some are uncensored so you can ask it questions that would be unacceptable online.

Prompting

To get answers one needs to be skillful with formulating a prompt (question) to get a reasonably good result. The better the prompt, the better the result. You can tell it to reply or write essays in the style of a famous author, or to honestly say when it doesn't know an answer. Be very specific with your prompts.

Hallucination

One major issue is that AI chat systems (GPT) tend to make up answers (hallucinate) when they don't know the answer to a question or prompt. Some can be told not to do that, so they will simply say they don't know.

Image Generation

AI images are getting better all the time. Even videos are possible. We're currently exploring how far we can push this. Some of the images on this website are AI generated.

Executive Summary

This section contains an executive summary (written by AI) of some issues that arise with AI usage and explores the benefits, dangers and ethics of AI, paying particular attention to the psychological implications of its use.

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References and further reading:

Domingos, P. (2015). The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Basic Books.

Goertzel, B. (2014). Artificial general intelligence. In Advances in Artificial General Intelligence (pp. 1-17). Springer.

Kshetri, N. (2018). Blockchain’s roles in meeting key supply chain management objectives. International Journal of Information Management, 39, 80-89.