Brave New Love: The Threat of High-Tech "Conversion" Therapy and the Bio-Oppression of Sexual Minorities
Abstract:
Our understanding of the neurochemical bases of human love and attachment, as well as of the genetic, epigenetic, hormonal, and experiential factors that conspire to shape an individual's sexual orientation, is increasing exponentially. This research raises the vexing possibility that we may one day be equipped to modify such variables directly, allowing for the creation of "high-tech" conversion therapies or other suspect interventions. In this article, we discuss the ethics surrounding such a possibility, and call for the development of legal and procedural safeguards for protecting vulnerable children from the application of such technology. We also consider the more difficult case of voluntary, adult "conversion" and argue that in rare cases, such attempts might be permissible under strict conditions. 漏 2014 Copyright 漏 Brian D. Earp, Anders Sandberg, and Julian Savulescu.Monte Carlo model of brain emulation development
Abstract:
Whole brain emulation (WBE) is the possible future technology of one-to-one modelling of the function of the entire (human) brain. It would entail automatically scanning a brain, decoding the relevant neural circuitry, and generate a computer-runnable simulation that has a one-to-one relationship with the functions in the real brain (as well as an adequate virtual or real embodiment)2.
Obviously this is a hugely ambitious project far outside current capabilities, possibly not even feasible in theory3. However, should such a technology ever become feasible there are good reasons to expect the consequences to be dramatic4 : it would enable software intelligence, copyable human capital, new ethical problems, and (depending on philosophical outlook) immortality and a posthuman species. Even if one does not ascribe a high probability to WBE being ever feasible it makes sense to watch for trends indicating that it may be emerging, since adapting to its emergence may require significant early and global effort taking decades5.
Predicting when a future technology emerges is hard, and there are good reasons to be cautious about overconfident pronouncements. In particular, predictions about the future of artificial intelligence have not been very successful and there are good theoretical reasons to have expected this6. However, getting a rough estimate of what is needed for a technology to be feasible compared to current trends can give a helpful “order of magnitude estimate” of how imminent a technology is, and how quickly it could move from a primitive state to a mature state.
This paper will describe a simple Monte Carlo simulation of the emergence of WBE as a first tool for thinking about it.