The Hitchhiker’s Guide to Responsible Machine Learning

Author: Przemysław Biecek, Anna Kozak, Aleksander Zawada; Publisher: GitHub; Publication Year: 2022. The following comic focusses on the need to learn the importance and application of different Explainable Artificial Intelligence (XAI) concepts and methods in a mix of graphic novel and textbook. Walk through the process of building a predictive model for COVID-19 risk and see how to use the DALEX package to analyze and explain variable…

Protecting Lives & Liberty: How Contact Tracing Apps Can Foil Both COVID-19 and Big Brother

Author: Nicky Case; Publisher: ncase.me; Publication Year: N/A. The following resource considers how should we balance leveraging sensitive data to combat important social issues (e.g., COVID-19 contact tracing) while ensuring data privacy? One answer is the DP-3T protocol used to automatically trace contact between individuals using location-based data from mobile devices. However, even with a…

Ethics and AI: Tackling Biases Hidden in Big Data

Author: Nello Cristianini; Publisher: European Research Council; Publication Year: 2021. The following article features Nello Cristianini, a professor of artificial intelligence from the University of Bristol, studied gender bias in media at a macro scale in order to see if they can remove bias from the media. They were able to remove bias and claim that their methods can be applied to other use cases. He also ran a sentiment analysis on Twitter to…

Data Ethics in combating COVID-19 after Lockdown

Author: Michelle Seng Ah Lee; Publisher: Trust & Technology Initiative; Publication Year: N/A. The following article talks about using data to overcome challenges due to the COVID-19 pandemic, and lessons learned in using data ethically. South Korea successfully curbed the growth in COVID-19 infections not by enforcing lockdowns, but by “rapidly scaling up its testing capabilities and effectively leveraging data to identify and isolate those…

Bias in Machine Learning Examples: Policing, Banking, COVID-19

Author: Lisa Morgan; Publisher: Tech Target; Publication Year: 2020. The following article discusses how human bias, missing data, data selection, data confirmation, hidden variables and unexpected crises can contribute to distorted machine learning models, outcomes and insights…

The Rise of AAAI: How a Data Ethics Framework Drives Value

Author: Leanne Allen; Publisher: KPMG International; Publication Year: 2020. The following article discusses how COVID-19 accelerated the implementation of Advanced Analytics and Artificial Intelligence (AAAI), and this trend changed how customers interact with financial companies. On the other hand, financial companies reported a 3% decline in consumer trust after the outbreak of COVID-19. Now, the consumers want greater…

Critical Questions for Facial Recognition Technologies in Higher Education: A Handbook for Stakeholders and Decision-Makers

Author: Jillian Kwong, Stefanie Demetriades, Ali Rachel Pearl, Noy Thrupkaew, Jef Pearlman, Colin Maclay; Publisher: MASTS “Mobilizing Controversy” Working Group; Publication Year: 2021. The following resource provides insight into what facial recognition is and how it should be used in higher education settings, whether it is for security purposes, tracking health such as during COVID-19, and also for proctoring exams. The article includes research and the rationale for banning facial recognition based on ethical concerns. Shifting norms…

No Trust, No Data – How Digital Development Depends on Ethics

Author: Frederik Weiergang Larsen, Ninni Gustavsen.

Publisher: UNESCO Inclusive Policy Lab

Publication Year: 2021

Summary: The following article is primarily regarding data ethics in Denmark, but its principles are generalizable for all data professionals. When the article was written, the Danish Data Ethics Council set 5 leading principles for a digital COVID-19 passport, including: 1). A clearly defined and limited scope, 2). Transparency and voluntary use, 3). Data security…

Closing the Public Health Ethics Gap

Author: Efthimios Parasidis, Amy L. Fairchild; Publisher: The New England Journal of Medicine; Publication Year: 2022. The following article argues that a lack of professional ethicists on public health teams during the pandemic was a large part of the divisiveness surrounding best practices of handling the pandemic. The common mantra “follow the science” led people to search for their own science, and from there, it was hard to dissuade people from their views. Now…

What Scientists Have Learnt from COVID Lockdowns

Author: Dyani Lewis; Publisher: Nature; Publication Year: 2022. The following article discusses how data can be used to compare countries’ performances in the COVID-19 lockdown. There was a controversial article that boldly claimed that lockdowns were not effective in reducing deaths from COVID-19. This argument was debunked, but there is still a lot of insight that can be gained on which country had the…