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Book Review: COLD ETERNITY by S.A. Barnes

Cover of Cold Eternity, by S.A. Barnes, featuring a cryochamber in a dark medbay, with the shadow of an odd-looking hand reaching over it.

Following up on Dead Silence and Ghost Station, S.A. Barnes continues to solidify herself with Cold Eternity as a leading voice in SF Horror, particular within the theme of isolation in space.

Book Review: ARDENT VIOLET AND THE INFINITE EYE by Alex White

Cover of Ardent Violet and the Infinite Eye, by Alex White. Features a reddish-purple mecha with a yellow-lit eyeslit, against a purple background.

Ardent Violet and the Infinite Eye exceeds expectations from the first novel because White so effectively maintains the tight plotting (with nice twists) and pacing while expanding a lot of the world building and filling in a lot of uncertainties from August Kitko and the Mechas from Space, particularly concerning the nature of the rogue AI Infinite and its Vanguard creations.

S1m0ne, or another predictive movie about AI

S1M0NE movie poster shows a large manifestations of a computer-generated woman looking down at Al Pacino.

Niccol’s films, almost universally, are obsessed with the idea of artificial realities. This can be a mundane sort of affair … Or it can be something like S1m0ne, where an actress and her whole career and presence, are digital creations. It is notable that Niccol is a cautionary tale sort of director. In each of these, the artificial realities break or are broken, showing the cogs and the gears of what is behind them.

Book Review: Aurora by Kim Stanley Robinson

In Aurora, Kim Stanley Robinson writes what aspires to be the definitive colonization-by-generation-starship novel, with an emphasis and focus on the implausibility and folly of such a scheme. (Note:This review atypically spoils a lot of the book as it is a virulent reaction to a lot of the elements in the book I could not otherwise discuss.)

Book Review: All Systems Red: The Murderbot Diaries by Martha Wells

A SecUnit assigned to the exploratory group PreservationAux has a problem. Two in fact. As an android, it’s supposed to serve the small exploratory mission to which it has been assigned. The SecUnit’s entire function is to support the exploratory mission’s investigation of a local planetary environment that it has placed a bid on to look at. Androids like SecUnit are a safety precaution from the Company because, well, alien planets can be rather hostile. And of course, they are handy recording devices, too, for the Company that is. A mandatory helper and a spy for anyone looking to explore the wild frontier in space. Given that planets are not monolithic single-biome worlds, having multiple teams from competing groups spread out across a newly found world is a pretty regular thing. Who knows what you will find over in the next valley, down the river a bit, from another team. One team can’t find everything on a planet.  So when a neighboring team to SecUnit’s goes dark, that’s a bad sign for its team, a major concern.  What disaster befell them? Environmental? Natural? Something else? Given the proximity, is it a threat to PreservationAux, and to SecUnit itself?

The Intersection: AI and Creator-bias

Today’s post isn’t about science fiction exactly, but we’ll file it under “thoughts that inspire science fiction” and vice versa. Ask a professional scientist if observer bias exists, and they’ll say yes. Medical science alone has many examples of what happens when bias is ignored. It affects medical practice in dangerous ways. Until recently, drug testing was almost never conducted on women. The reasoning was that women have “hormone fluctuations,” and the male-dominated medical industry wanted a pure data-baseline. Society believes that male is default for human. So, the establishment assumed that whatever is safe for men is safe for women and never looked back. Of course, the failure in logic here is that if a drug’s effectiveness is adulterated enough by female hormone fluctuations that it alters the end data, how could they have missed that this also meant this interaction could change its efficacy on the patient? Or to put it another way: How could they possibly know whether or not the drugs were, in fact, safe for women if the drugs aren’t tested under conditions with shifting hormones — the very conditions under which the drug was being used? This isn’t the only example.[1] And medicine isn’t the only science to suffer because of unexamined bias. And here is where we begin our discussion of AI.