Accumulating evidence using crowdsourcing and machine learning: A living bibliography about existential risk and global catastrophic risk

摘要: Abstract The study of existential risk — the human extinction or collapse civilization has only recently emerged as an integrated field research, and yet overwhelming volume relevant research already been published. To provide evidence base for policy analysis, this should be systematically reviewed. In a systematic review, one many time-consuming tasks is to read titles abstracts publications, see if they meet inclusion criteria. We show how task can shared between multiple people (using crowdsourcing) partially automated machine learning), methods handling research. used these create Existential Risk Research Assessment (TERRA), which living bibliography publications that gets updated each month ( www.x-risk.net ). present results from first ten months TERRA, in 10,001 were screened by 51 participants. Several challenges need met before reviews. However, we suggest collaborative cumulative such will reviews increases.