Is there a part of the human mind that cannot be monitored?  New York-based media artist, critic, curator and writer Dr. Ellen Perlman presented in  his opera in 2021 her opinion.

Ellen stories us:  My AI character was built using 47 copyright-free texts. The texts ranged from books and movie scripts that started at the end of the 19th century and ended around 1940, which would be the historical time of the life of the AI character. They included books and texts such as Frankenstein, Dracula, Dr. Jekyll and Mr. Hyde, Venus In Furs, Havelock Ellis’s books on sexual perversion, books on eugenics, books on male castration and many others. I used very strange texts to build the AI character and it was seeded by an understanding of the range of human perversion, mostly male human sexual perversion. Oh, Thus Spake Zarathustra by Nietzsche, you know, these kinds of texts.

Currently AIs are just at the beginning of trying to emulate human emotion, and human emotion analyzed from speech is the simplest way to analyze emotions. It is easy to tag sentence structure. The tools are called natural language processing (NLP). They react to sentiment analysis, which is magnitude and score. Magnitude means how strong or forceful a statement is.

So, if I say, “I like you very much,” “very” is a strong statement. If I just say, “I like you”, it’s not strong. “Like” is also analyzed as it is positive. So, you get a numeric reading back of a positive statement that is very strong, meaning it has a score of positive and a high magnitude. Or I could say, “I hate you” or “I hate you so much”, and you would get “negative” or “negative very strong”. And that’s it, that’s all text-based emotional analysis can do right now. Oh, and it can also give a neutral reading as well.

I made the AI character from scratch. I worked with a programmer for 10 months and built the AI to my specifications, using a very important new technology called GPT-2. This technology is the equivalent of a chatbot on steroids, and GPT-2 has already been surpassed by a newer technology called GPT-3, which is way more powerful.

This project was made me  because I wanted to prove a point about that fact that you can create an emotional analysis of a fake emotional being. In that sense it was successful. I was able to analyze the fake emotions of a fake entity.

The reason why that’s so important – the issue of analyzing the fake emotion of a fake entity – is because AIs are going to control so many things within the next 10 years, including medical diagnostics, credit, bail, insurance, job interviews, even education.

Ellen messages us, that she believes that artificial intelligence has so-called algorithmic biases. Most neural networks are written by white men between the ages of 25 and 35.  They are sure that they have no prejudices, but in fact there are a lot of them.  Therefore, these biases are also inherent in these algorithms.

Also, Ellen states, she believes that two things that will help make artificial intelligence more fair are the diversity in the environment of programmers and the ethical rules of regulation. Artificial intelligence can be very harmful depending on who controls it, how it is used and how it is regulated.

https://thetheatretimes.com/interview-with-ellen-pearlman-about-aibo-an-emotionally-intelligent-artificial-intelligent-brainwave-opera-part-2/