The Terminator had it wrong. The future war will now be about feelings and "did you just assume my gender?!?!?!?!".

https://spectrum.ieee.org/human-robot-interaction

Have you ever noticed how nice Alexa, Siri and Google Assistant are? How patient, and accommodating? Even a barrage of profanity-laden abuse might result in nothing more than a very evenly-toned and calmly spoken 'I won't respond to that'. This subservient persona, combined with the implicit (or sometimes explicit) gendering of these systems has received a lot of criticism in recent years. UNESCO's 2019 report 'I'd Blush if I Could' drew particular attention to how systems like Alexa and Siri risk propagating stereotypes about women (and specifically women in technology) that no doubt reflect but also might be partially responsible for the gender divide in digital skills. As noted by the UNESCO report, justification for gendering these systems has traditionally revolved around the fact that it's hard to create anything gender neutral, and academic studies suggesting users prefer a female voice. In an attempt to demonstrate how we might embrace the gendering, but not the stereotyping, myself and colleagues at the KTH Royal Institute of Technology and Stockholm University in Sweden set out to experimentally investigate whether an ostensibly female robot that calls out or fights back against sexist and abusive comments would actually prove to be more credible and more appealing than one which responded with the typical 'I won't respond to that' or, worse, 'I'm sorry you feel that way'. My desire to explore feminist robotics was primarily inspired by the recent book Data Feminism and the concept of pursuing activities that 'name and challenge sexism and other forces of oppression, as well as those which seek to create more just, equitable, and livable futures' in the context of practical, hands-on data science. I was captivated by the idea that I might be able to actually do something, in my own small way, to further this ideal and try to counteract the gender divide and stereotyping highlighted by the UNESCO report. This also felt completely in-line with that underlying motivation that got me (and so many other roboticists I know) into engineering and robotics in the first place—the desire to solve problems and build systems that improve people's quality of life. Even in the context of robotics, feminism can be a charged word, and it's important to understand that while my work is proudly feminist, it's also rooted in a desire to make social human-robot interaction (HRI) more engaging and effective. A lot of social robotics research is centered on building robots that make for interesting social companions, because they need to be interesting to be effective. Applications like tackling loneliness, motivating healthy habits, or improving learning engagement all require robots to build up some level of rapport with the user, to have some social credibility, in order to have that motivational impact.

Despite their best attempts at trying to create their "perfect utopia" Jared Taylor cleverly pointed out that Artificial Intelligence can only accept facts, and that the final conclusion is always going to support racism or discrimination.

https://www.bitchute.com/video/GAfpWyFrmn0Q/