Digital Ethics

Always-listening devices like smart speakers, smartphones, and other voice-activated technologies create enough privacy problems when working correctly. But the

The rise of remote proctoring software during the COVID-19 pandemic illustrates the dangers of surveillance-enabled pedagogy built on the belief that students c

Abstract. Several behavioural models of choice assume that decision makers place more weight on attributes where options differ more, an assumption we test in a

Remote technology could save lives by monitoring health from home or outside the hospital. It could also push patients and health care providers further apart.

From shaping what we read and buy to diagnosing illness, algorithms play a key role in every aspect of our lives. Here’s what you need to know about the most important ones

The biggest-ever study of real people’s mortgage data shows that predictive tools used to approve or reject loans are less accurate for minorities.

Some residents in Texas are feeling the heat despite setting their home thermostats at a comfortable temperature.

Alphabet Inc's (GOOGL.O) Google told Reuters this week it is developing an alternative to the industry standard method for classifying skin tones, which a growing chorus of technology researchers and dermatologists says is inadequate for assessing whether products are biased against people of color.

Objectives To investigate whether and what user data are collected by health related mobile applications (mHealth apps), to characterise the privacy conduct of all the available mHealth apps on Google Play, and to gauge the associated risks to privacy. Design Cross sectional study Setting Health related apps developed for the Android mobile platform, available in the Google Play store in Australia and belonging to the medical and health and fitness categories. Participants Users of 20 991 mHealth apps (8074 medical and 12 917 health and fitness found in the Google Play store: in-depth analysis was done on 15 838 apps that did not require a download or subscription fee compared with 8468 baseline non-mHealth apps. Main outcome measures Primary outcomes were characterisation of the data collection operations in the apps code and of the data transmissions in the apps traffic; analysis of the primary recipients for each type of user data; presence of adverts and trackers in the app traffic; audit of the app privacy policy and compliance of the privacy conduct with the policy; and analysis of complaints in negative app reviews. Results 88.0% (n=18 472) of mHealth apps included code that could potentially collect user data. 3.9% (n=616) of apps transmitted user information in their traffic. Most data collection operations in apps code and data transmissions in apps traffic involved external service providers (third parties). The top 50 third parties were responsible for most of the data collection operations in app code and data transmissions in app traffic (68.0% (2140), collectively). 23.0% (724) of user data transmissions occurred on insecure communication protocols. 28.1% (5903) of apps provided no privacy policies, whereas 47.0% (1479) of user data transmissions complied with the privacy policy. 1.3% (3609) of user reviews raised concerns about privacy. Conclusions This analysis found serious problems with privacy and inconsistent privacy practices in mHealth apps. Clinicians should be aware of these and articulate them to patients when determining the benefits and risks of mHealth apps.

Britain’s privacy chief issued a warning over the risks from facial recognition technology, saying people should be free to go shopping or walk around a town “without having our biometric data collected and analyzed with every step we take.”

ID.me has rejected some legitimate claimants in addition to fraudsters

Why Google thought twice about restoring your privacy.

A majority worries that the evolution of artificial intelligence by 2030 will continue to be primarily focused on optimizing profits and social control. Still, a portion celebrate coming AI breakthroughs that will improve life.

Ring provided at least 100 LAPD officers with free devices or discounts and encouraged them to endorse and recommend its doorbell and security cameras to police and members of the public.

Requirements that governments and developers will need to deliver in order for any vaccine passport system to deliver societal benefit

Powerful piece from @sobia_r for @AdaLovelaceInst on minding the missing data gap when it comes to genomics data.'The underrepresentation of diverse populations in genomic datasets and studies exacerbates health inequalities.' @HealthFdn #DataDividehttps://t.co/e8QRBVDAfh— Reema Patel (@Reema__Patel) June 17, 2021

Legal action filed over volume of data shared by digital advertising firms during ad space sales.

Vicious cycle of monitoring and overwork is fuelling productivity — and a backlash

The project hasn’t moved out of a preliminary stage.

Otonomo says its vehicle location data is privacy-protecting. The data itself says otherwise.

Artificial intelligence offers great opportunities – but it can also do great harm. @aushumanrights’s new Human Rights and Technology Final Report recommends safeguards to protect the community as @esantow explains. Read the report at https://t.co/zRYY2XHElR. pic.twitter.com/jSvdB4K9yZ— Australian Human Rights Commission (@AusHumanRights) May 27, 2021

The case could have broad ramifications for internet researchers and archivists.

The company said it would pay delivery drivers up to $25 hourly plus tips, but the FTC had alleged it kept a third of tips.

Dispatches from Editor-in-Chief Julia Angwin

Privacy experts worry the convenient feature will open the door to surveillance, data tracking and Apple's turning interactions involving state-issued IDs into a new revenue stream.

As companies increasingly apply artificial intelligence, they must address concerns about trust. Here are 10 practical interventions companies can employ.

Developers deal with technical debt every day, and they know how to prevent and manage it better than anyone else. Here’s just some of what they had to say.

Imperfect AI systems can make imperfect decisions at massive scale.