Accuracy

The Role and Limits of Principles in AI Ethics: Toward a Focus on Tensions

by

Author: Jess Whittlestone et al.; Publisher: Conference on AI, Ethics, and Society; Publication Year: 2019. The following research article argues that there are tensions between common principles guiding ethical decision-making about artificial intelligence (AI). They explain 4 key tensions: service quality versus privacy, accuracy versus fair treatment, personalization versus solidarity, and convenience versus dignity. By analogy with bioethics, the authors also argue…

The Ethics of Data Visualization

by

Author: Tricia Bisoux; Publisher: AACSB; Publication Year: 2019. The following article discusses how graphs can be highly misleading. As an ethical data scientist, it is important to both create visuals that convey the accurate information and not be a part of misinformation and also know how to interpret visuals well. It is important to be aware of biases when making graphs and to know when reading them, that they are not…

Ethical Use of AI in Hiring

by

Author: Nina Alag Suri; Publisher: LinkedIn; Publication Year: 2021. The following article describes how artificial intelligence (AI) plays an important role in talent acquisition and can make more precise predictions of candidate success. In order to ethically use AI, companies should utilize ethical frameworks and an ethical code of conduct. Some notable topics include: candidates should be informed of AI usage and…

Artificial Intelligence in Healthcare: Providing Ease or Ethical Dilemmas?

by

Author: Nils Aoun, Chloé Currie, Itai Epstein, and Chaaron Nahar; Publisher: Maiei; Publication Year: 2022. The following article covers how research in medicine by people is at a plateau, many of the recent advancements are coming through artificial intelligence (AI). AI has primarily increased the efficiency of the diagnosis process. Showing great accuracy in classifying imaging from scans of specific diseases, helping save many lives. However, the full…

Data in Advertising: What it Means to be an Ethical Marketer

by

Author: Michael Peralta; Publisher: iab. Tech Lab; Publication Year: 2022. The following article emphasizes the importance of ethical data collection and utilization in marketing, in addition to providing a set of principles to be followed when sourcing data for marketing purposes. Peralta argues that, while first-party data is often ethically sourced, third-party data (which is essentially obtained from an organization…

Accounting for Racial Bias in Recidivism Forecasting, Year 3 Male Parolees Report

by

Author: Mary Beth Carroll, Rodney Carson, Mike Clark, Adam Cottrell, Jim Georges, Tyler Nelson, Hiwot Tesfaye, Halil Toros, Sree Vuthaluru; Publisher: SAS Institute Inc.; Publication Year: 2022. The following modeling report attempts to look at racial bias in recidivism and better predict recidivism. This was their entry into the National Institute of Justice (NIJ) sponsored Recidivism Forecasting Challenge to try and improve forecasting recidivism. The goal was to increase accuracy using risk predictors, what they found important variables…

Why Do We Need to Talk About Ethics and Bias in AI?

by

Author: Kim Escherich; Publisher: IBM Nordic Blog; Publication Year: 2019. The following article discusses how as digitization has been extended, we started to consider how far we can extend it with the concerns of ethics. Most people seem to blindly assume that the result from a computer is correct while it is perfectly natural to fail when it has been calculated by a human being. It seems we give computers and those…

Center for Applied Data Ethics suggests treating AI like a bureaucracy

by

Author: Khari Johnson; Publisher: VentureBeat; Publication Year: 2021. The following article summarizes another paper about the danger of accepting the future of artificial intelligence (AI) as inevitable and potential power dynamics that can emerge that strengthen the most privileged groups. From the anthropological approach, assessment of a model should be relevant to what it may be causing, whether it will cause…

The 2022 AI Index: AI’s Ethical Growing Pains

by

Author: Katherine Miller Publisher: Stanford University, Human-Centered Artificial Intelligence Publication Year: 2022 Summary: The following article is concerned with language models. It briefly describes 3 ethical problems that are common with these models. First, they have a propensity to produce toxic output when given certain inputs. Second, they very rarely respond to prompts in a … Read more

DeepMind is asking how AI helped turn the internet into an echo chamber

by

Author: Karen Hao; Publisher: MIT Technology Review; Publication Year: 2019. The following article discusses how artificial intelligence (AI) furthers the “filter bubble” online. Users tend to interact with content that they enjoy, which allows recommendation systems to provide more of that content. The potential issue with this is that the other side of the story is increasingly left out of results. Users are fed what they…