Facebook's second most powerful executive, Sheryl Sandberg, has apologised for the conduct of secret psychological tests on nearly 700,000 users in 2012, which prompted outrage from users and experts alike. The experiment, revealed by a scientific paper published in the March issue of Proceedings of National Academy of Sciences, hid "a small percentage" of emotional words from peoples' news feeds, without their knowledge, to test what effect that had on the statuses or "likes" that they then posted or reacted to. "This was part of ongoing research companies do to test different products, and that was what it was; it was poorly communicated," said Sandberg, Facebook's chief operating officer while in New Delhi. We never meant to upset you." The statement by Sandberg, deputy to chief executive Mark Zuckerberg, is a marked climbdown from its insistence on Tuesday that the experiment was covered by its terms of service.
When a rogue researcher last week released 70,000 OkCupid profiles, complete with usernames and sexual preferences, people were pissed. When Facebook researchers manipulated stories appearing in Newsfeeds for a mood contagion study in 2014, people were really pissed. OkCupid filed a copyright claim to take down the dataset; the journal that published Facebook's study issued an "expression of concern." Outrage has a way of shaping ethical boundaries. Shockingly, though, the researchers behind both of those big data blowups never anticipated public outrage.
The issue of whether, and how, to obtain informed consent for researchstudies that use social network data has recently come to the fore insome controversial cases.Determining how to acquire valid consent that meets the expectations of participants, while minimising the burden placed on them, remains an open problem.We apply Nissenbaum's model of contextual integrity to the consent process, to study whether social norms of willingness to share social network data can be leveraged to avoid burdening participants with too many interventions, while still accurately capturing their own sharing intent. We find that for the 27.7% of our participants (N = 109) who conform to social norms, contextual integrity can be used to significantly reduce the time taken to capture their consent, while still maintaining accuracy. Our findings have implications for researchers conducting such studies who are looking to acquire informed consent without having to burden participants with many interactions.
Razzaki, Salman, Baker, Adam, Perov, Yura, Middleton, Katherine, Baxter, Janie, Mullarkey, Daniel, Sangar, Davinder, Taliercio, Michael, Butt, Mobasher, Majeed, Azeem, DoRosario, Arnold, Mahoney, Megan, Johri, Saurabh
Online symptom checkers have significant potential to improve patient care, however their reliability and accuracy remain variable. We hypothesised that an artificial intelligence (AI) powered triage and diagnostic system would compare favourably with human doctors with respect to triage and diagnostic accuracy. We performed a prospective validation study of the accuracy and safety of an AI powered triage and diagnostic system. Identical cases were evaluated by both an AI system and human doctors. Differential diagnoses and triage outcomes were evaluated by an independent judge, who was blinded from knowing the source (AI system or human doctor) of the outcomes. Independently of these cases, vignettes from publicly available resources were also assessed to provide a benchmark to previous studies and the diagnostic component of the MRCGP exam. Overall we found that the Babylon AI powered Triage and Diagnostic System was able to identify the condition modelled by a clinical vignette with accuracy comparable to human doctors (in terms of precision and recall). In addition, we found that the triage advice recommended by the AI System was, on average, safer than that of human doctors, when compared to the ranges of acceptable triage provided by independent expert judges, with only a minimal reduction in appropriateness.
Researchers have found that dogs tend to match their emotional state to the emotional sounds they hear in humans and other dogs. Dogs responded similarly to emotional sounds from both humans and dogs, and expressed negative emotional states when they heard negative emotional sounds. The research indicates that dogs are able to distinguish between positive and negative emotional sounds and are sensitive to emotions in humans. Emotional contagion is a basic component of empathy, defined as an automatic and unconscious emotional state-matching between two individuals. Emotional contagion has been demonstrated in various animal species ranging from primates to rodents.