The increase in research data-sharing practices has highlighted a growing number of ethical challenges related to the sharing and publication of datasets. In order to support the stakeholders involved in the publication of research data, the FORCE11 Research Data Publishing Ethics Working Group, in collaboration with Committee on Publication Ethics (COPE), has developed recommendations toward best practices for handling ethical cases related to the sharing and publication of research data. The recommendations posted are available together as PDF "Recommendations for the handling of ethical concerns relating to the publication of  research data" or broken apart by categories of considerations. Each include background information, examples, and recommended workflows for cases that may arise during the review & publication processes or post-publication.

"relatively few papers mention ethics and privacy issues, or apply strategies to address ethical issues"

Some have been used in hospitals, despite not being properly tested. But the pandemic could help make medical AI better.

Research using online datasets from social media platforms continues to grow in prominence, but recent research suggests that platform users are sometimes uncom...

"It also changed the way I perceived digital data about myself. I no longer viewed it as something innocuous that floated around in cyberspace. I started to see it for what it is – a representation of how others choose to classify me based on assumptions that they have drawn from my physical characteristics, ethnic and cultural heritage, political views and opinions, and other ‘data points’."

A new workshop explores the right of Indigenous people to govern the collection, ownership and use of their biological and cultural data.

The disastrous mishandling of Rohingya refugees’ data by UNHCR deserves an apology, and measures to ensure it doesn’t happen again.

Recent controversies related to topics such as fake news, privacy, and algorithmic bias have prompted increased public scrutiny of digital technologies and soul-searching among many of the people...

Just 6% of respondents said they ensure AI is used ethically and responsibly by making development teams diverse.

It has become trivial to point out that algorithmic systems increasingly pervade the social sphere. Improved efficiency—the hallmark of these systems—…

Can Google be trusted to evaluate its own AI?

Indigenous research ethics is a collective and diverse set of responses to the way in which research has historically been, and continues to be, something that has been done to, rather than with, Indigenous peoples and communities. More specifically, the wide range of writings on Indigenous research

The company’s AI algorithms gave it an insatiable habit for lies and hate speech. Now the man who built them can't fix the problem.

For better accountability, we should shift the focus from the design of these systems to their impact.

In its bid for TikTok, Oracle was supposed to prevent data from being passed to Chinese police. Instead, it’s been marketing its own software for their surveillance work.

About a dozen health-care systems will co-own a private Seattle-based startup company that will anonymize data from millions of patients and make it available to researchers, health-care providers and pharmaceutical companies.

A genealogy of one of the most important datasets in AI.