Digital Ethics

Artificial intelligence will change the health care industry, not least by raising serious moral issues.

In a crowded field of awful companies, one stands out as the worst: @proctorio, which uses digital phrenology to monitor students' faces while they take tests, setting them up for punishment for looking away while thinking, going to the bathroom, or throwing up from anxiety.3/— Cory Doctorow (@doctorow) April 22, 2021

There’s a lot of talk these days about building ethics into artificial intelligence systems. From a philosophical perspective, it’s a daunting challenge – and this has to do with the nature of ethics, which is more than just a set of principles and instructions. Can machines ever really be moral agents?

In order to be more inclusive as teachers, presenters, speakers, facilitators (and a long list of other things we do in life where we communicate), we need to develop the skill of audio describing our own presentations.

Consent Management Providers (CMPs) provide consent pop-ups that are embedded in ever more websites over time to enable streamlined compliance with the legal requirements for consent mandated by the ePrivacy Directive and the General Data Protection Regulation (GDPR). They implement the standard for consent collection from the Transparency and Consent Framework (TCF) (current version v2.0) proposed by the European branch of the Interactive Advertising Bureau (IAB Europe). Although the IAB’s TCF specifications characterize CMPs as data processors, CMPs factual activities often qualifies them as data controllers instead. Discerning their clear role is crucial since compliance obligations and CMPs liability depend on their accurate characterization. We perform empirical experiments with two major CMP providers in the EU: Quantcast and OneTrust and paired with a legal analysis. We conclude that CMPs process personal data, and we identify three scenarios wherein CMPs are controllers.

When you can see who saw your post, each viewing is a loaded message

Emotion recognition technology raises questions about bias, privacy and mass surveillance.

The settlements of three class-action cases could prompt industrywide changes for apps and ads aimed at young people.

European Union lawmakers who are drawing up rules for applying artificial intelligence are considering fines of up to 4% of global annual turnover (or €20M, if greater) for a set of prohibited use-cases, according to a leaked draft of the AI regulation — reported earlier by Politico — t…

An interview with Stefan Leijnen, lecturer in Artificial Intelligence, about the wonderful world of AI and what is in store for the future.

Emotion A.I., affective computing, and artificial emotional intelligence are all fields creating technology to understand, respond to, measure, and simulate human emotions. Hope runs so high for…

Regulators are scrambling to stay abreast of the rapid growth of artificial intelligence and machine learning. There are the two

Technical approaches are only one part of the trust relationship between AI and users You may have heard of an AI method called Explainable Artificial Intelligence or XAI. XAI refers to the discipline that aims to make the behaviour of AI models more understandable.

Smart-home devices like thermostats and fridges may be too smart for comfort – especially in a country with few laws preventing the sale of digital data to third parties

The think tank rejected money from Facebook and Google for "suppressing conservative speech."

Facebook claims its tool to combat AI bias -- Fairness Flow -- is being used across the company. But experts say it's likely insufficient.

Our society needs a constructive discourse around ethics in the digital realm, as well as a wide-spread literacy on how to design for ethics in a digitalised environment.

Covid has given Peter Thiel’s secretive US tech company new opportunities to operate in Europe in ways some campaigners find worrying

A chatbot was trained on more than 10 billion conversations between romantic partners. Then the trouble began.

Big Data analytics and artificial intelligence (AI) draw non-intuitive and unverifiable inferences and predictions about the behaviors, preferences, and private

Key PointsSince approval of the European Union General Data Protection Regulation (GDPR) in 2016, it has been widely and repeatedly claimed that a ‘right to exp

Western societies are marked by diverse and extensive biases and inequality that are unavoidably embedded in the data used to train machine learning. Algorithms

Here is what Slack should do: find the people in the org who warned you the DM feature could be abused by bad actors and LISTEN TO THEM NEXT TIME. Find the people who said that was an overreaction or too negative and make sure they understand they were wrong and why.— Laura Klein (@lauraklein) March 25, 2021

(2021). Slow Innovation: the need for reflexivity in Responsible Innovation (RI). Journal of Responsible Innovation. Ahead of Print.

The company launched a new feature to let anyone message anyone else on Slack, without mechanisms for users to block unwanted or harassing messages.

In Hungarian, we don’t use he/she there is only one gender pronoun “Ö”. But it’s fascinating when this is fed through Google Translate, the algorithms highlight the biases that are there. Then imagine enacting any kind of change from those biases, encoded into computer code. pic.twitter.com/DygBtaHShU— ρђ๏є๒є Շเςкєɭɭ (@solarpunk_girl) March 20, 2021

Artificial intelligence will bever be completely free of bias, but there are ways to make it as unbiased as possible.

As artificial intelligence models grow larger and consume more energy, experts have begun to worry about their impact on Earth’s climate.