Thanks to Annette Zimmermann and Arvind Narayanan for their helpful feedback on this post. Algorithmic bias is currently generating a lot of lively public and scholarly debate, especially amongst computer scientists and philosophers. But do these two groups really speak the same language—and if not, how can they start to do so? I noticed at […]
Archives for 2020
The CheapBit of Fitness Trackers Apps
March 16, 2020 by
Yan Shvartzshnaider (@ynotez) and Madelyn Sanfilippo (@MrsMRS_PhD) Fitness trackers are “[devices] that you can wear that records your daily physical activity, as well as other information about your health, such as your heart rate” [Oxford Dictionary]. The increasing popularity of wearable devices offered by Apple, Google, Nike inadvertently led cheaper versions to flood the market, […]
Ballot-level comparison audits: BMD
March 13, 2020 by
In my previous posts, I’ve been discussing ballot-level comparison audits, a form of risk-limiting audit. Ballots are imprinted with serial numbers (after they leave the voter’s hands); during the audit, a person must find a particular numbered ballot in a batch of a thousand (more or less). With CCOS (central-count optical scan) this works fine: […]
Finding a randomly numbered ballot
March 11, 2020 by
In my previous posts, I’ve been discussing ballot-level comparison audits, a form of risk-limiting audit. Ballots are imprinted with serial numbers (after they leave the voter’s hands); during the audit, a person must find a particular numbered ballot in a batch of a thousand (more or less). If the ballot papers are numbered consecutively, that’s […]
Why we can’t do random selection the other way round in PCOS RLAs
March 9, 2020 by
In my last article, I posed this puzzle for the reader. We want to do ballot-level comparison audits, a form of RLA (risk-limiting audit) on a precinct-count optical-scan (PCOS) voting system. This requires a serial number printed on every ballot, linked with an entry in the cast-vote-record (CVR) file. The standard method is to pick […]
