Public Service Internet monthly newsletter (Sept 2022)

a group of people walking down a street next to tall buildings, cyberpunk art by Ji Sheng, cgsociety, afrofuturism, concept art HQ
a group of people walking down a street next to tall buildings, cyberpunk art by Ji Sheng, cgsociety, afrofuturism, concept art HQ – via Midjourney

We live in incredible times with such possibilities that is clear. Although its easily dismissed seeing the ring door bell show, twitter not taking security seriously and Android stalkerware with a flaw affecting millions.

To quote Buckminster Fuller “You never change things by fighting the existing reality. To change something, build a new model that makes the existing model obsolete.

You are seeing aspects of this with some cameras which can optically not see objects and people. Facebook messager pushed into deploying some-kind of encryption and Chokepoint capitalism look very well timed indeed.


1.5 million people avoided ransomware

Ian thinks: Ransomware is awful and is such a big problem. Interpol and others decided to do something about it, to encourage victims from paying out. The 1.5 million victims helped in a short time is impressive

Side by side, the differences between AI image generators

Ian thinks: Over the last few months, the AI image generation world has gone in overdrive. I found this comparison really intriguing although the story of midjourney speaks volumes.

The privacy and security problems of frictionless design

Ian thinks:: What Tiktok is doing is deeply worrying but it raises the bigger question of usability to avoid user agency and data rights.

Terraform: Stories from the future?

Ian thinks: I’m not usually a reader of Sci-Fi but now Black Mirror is cancelled, I am looking out for the audiobook of this book. Interesting short stories about the future we are slowly walking towards.

Could we ever trust robots?

Ian thinks: This talk from the Thinking Digital Conference in Newcastle, made me chuckle but highlights a lot of the problems with the future dreams of robots around the home. Its worth checking out the rest of the conference videos too.

In machines we trust?

Ian thinks: MIT’s podcast about the automation of everything is a good listen. Well thought out and I’m looking forward to the next season in this ongoing question about trust and machines.

The future is bright for open podcasting

Ian thinks: I am still fascinated and still impressed the podcasting industry is holding tight against the larger players. Innovating together and for the benefit of all, a great example of the public focused future.

What can be learned from Netflix’s downturn?

Ian thinks: Everyone has been beating up on Netflix recently, but I found this summary sensible, logical and raises questions about the multipliers of tech companies.

Have you ever considered the term social warming?

Ian thinks: For a long time, I have thought about a term which sums up the downsides of social media/networking. In the book Social Warming: The dangerous and polarising effects of social media, I feel Charles Arthur has found the perfect term.


Find the archive here

Illustrations for my book: AI or not to AI?

Black man and White woman in AI drawn picture

Some of you might know I have been writing a book about my dating experiences.

Its moving along thanks to some great friends who have done such a great job editing, structuring and shaping the book. But one thing I turned my attention to a while ago, is the illustrations.

I did pay for an artist out of my own money but wasn’t quite happy with every single illustration for each chapter, so only had about half done. The rest I’m talking to another artist about but recently been quite impressed with the AI art generators like DALL-E 2, Midjourney, Nightcafe.

The generated works are strange and abstract enough to fit with what I’m looking for in the book. Not only that, the ownership and copyright seems to be working out (from what I read using DALL-E 2).

(c) Copyright. OpenAI will not assert copyright over Content generated by the API for you or your end users.

I certainly seen the AI bias in some of the images generated. For example if I don’t say what gender or race the person is, the AI defaults to male and white. Its only when I deliberately say Black male / female it then switches. I would also say the images of black women are not as fully thought out as white women. Because I’m generating pictures of dating, it always defaults to straight dating unless I add something to the query. Likewise the women are always thin never curvy unless specified. Actually a few times, I got women who were pregnant. Of course every single time I make a query, it takes credit (money) making it costly to really test its bias, sure someones already on this.

The big question I have is, if I was to use DALL-E for illustrations in my book, what would that say or mean for my stance around AI, bias and data use? To be honest, I’m actually thinking about generating the front & back covers in full colour, rather than the in book illustrations.

Maybe I should be less worried about this? Or even better I was thinking about ways to not just make clear it’s AI generated but show the process of selection or something similar?

Thoughts?