You probably know of these already, but just in case: lukeprog wrote a couple of articles on the history of AI risk thought [1, 2] going back to 1863. There's also the recent AI ethics article in the Stanford Encyclopedia of Philosophy.

I'd also like to imagine that my paper on superintelligence and astronomical suffering might say something that someone might consider important, but that is of course a subjective question. :-)

Congrats! Here are my totally un-researched first thoughts:

Pre-1950 History: Speculation about artificial intelligence (if not necessarily in the modern sense) dates back extremely far. Brazen head, Frankenstein, the mechanical turk, R.U.R. robots. Basically all of this treats the artificial intelligence as essentially a human, though the brazen head mythology is maybe more related to deals with djinni or devils, but basically all of it (together with more modern science fiction) can be lumped into a pile labeled "exposes and shapes human intuition, but not very serious".

Automating the work of logic was of interest to logicians such as Hilbert, Pierce, Frege, so there might be interesting discussions related to that. Obviously you'll also mention modern electronic computing, Turing, Good, Von Neumann, Wiener, etc.

There might actually be a decent amount already written about the ethics of AI for central planning of economies. Thinking about Wiener, and also about the references of the recent book Red Plenty, about Kantorovich and halfhearted soviet attempts to use optimization algorithms on the economy.

The most important modern exercise of AI ethics is not trolley problems for self-driving cars (despite the press), but interpretability. If the law says you can't discriminate based on race, for instance, and you want to use AI to make predictions about someone's insurance or education or what have you, that AI had better not only not discriminate, it has to interpretably not discriminate in a way that will stand up in court if necessary. Simultaneously, there's the famous story of Target sending out advertisements for baby paraphernalia, and Facebook targets ads to you that, if they don't use your phone's microphone, make good enough predictions to make people suspect they do. So the central present issue of AI ethics is the control of information - both its practicality in places we've already legislated that we want certain information not to be acted on, and examining the consequences in places where there's free rein.

And obviously autonomous weapons, the race to detect AI-faked images, the ethics of automation of large numbers of jobs, and then finally maybe we can get to the ethical issues raised by superhuman AI.

This post I wrote a while back has some references you might find useful: "A developmentally-situated approach to teaching normative behavior to AI".

Also I think some of the references in this paper I wrote might be useful: "Robustness to fundamental uncertainty in AGI alignment".

Topics that seem important to cover to me include not only AI impact on humans but also questions surrounding the subjective experience of AI, which largely revolves around the question of if AI have subjective experience or are otherwise moral patients at all.