Author: N/A; Publisher: UNESCO; Publication Year: 2023. The following article discusses how bias is very much prevalent in today’s artificial intelligence (AI)-systems shown through many examples. When searching for school in a search system the results often show women in promiscuous outfits, skinny, and white. However, when searching for school boy, the pictures are perfectly ordinary. There was…
Author: N/A; Publisher: United Nations News; Publication Year: 2020. The following article discusses how artificial intelligence (AI) development is especially problematic for countries where governments do not have the ability to effectively regulate consumer privacy or misinformation. International AI regulation will probably be necessary to curb the problem. Social media companies are incentivized to supply…
Author: Umberto Bacchi; Publisher: Reuters; Publication Year: 2022. The following article discusses how TikTok’s original text to speech voice was modeled after Bev Standing, a Canadian voice actress, whose performance was never licensed by the platform. Instead, some of her previous work was acquired by the developers, and an artificial intelligence (AI) algorithm was used to develop the voice that was ultimately…
Author: Tony Sun, Andrew Gaut, Shirlyn Tang, et al.; Publisher: Arxiv; Publication Year: N/A. The following article discusses how despite their success in modeling various applications, natural language processing (NLP) models propagate and may even amplify gender bias found in text corpora. While the study of bias in artificial intelligence is not new, methods to reduce gender bias in NLP are still in their early stages. The authors of this paper…
Author: Timnit Gebru; Publisher: DAIR Research Institute; Publication Year: N/A. The following website features an interdisciplinary and globally distributed artificial intelligence (AI) research institute that was founded by Timnit Gebru who was fired by Google in December 2020 for raising issues of discrimination in the workplace as was was the co-lead for Google’s Ethical AI research team. This resource seemed unique because it’s…
Author: Tim Dutton; Publisher: Medium; Publication Year: 2018. The following article explains the current political landscape of artificial intelligence (AI). It goes into the competitive nature of technology around the world and how countries are in competition to see who can implement better AI solutions. “AI policy is about maximizing AI’s many benefits for our economy and societies, while minimizing its…
Author: Thomas Macaulay, Alejandro Saucedo; Publisher: The Next Web; Publication Year: 2022. The following article discusses how almost all artificial intelligence (AI) algorithms are inherently biased as they do exactly what us the programmers tell them to do and we are all inherently biased ourselves. This resource is an interview with Alejandro Saucedo, Chief Scientist at The Institute for Ethical AI, who discusses his main points of what needs to be…
Author: N/A; Publisher: The Data Nutrition Project; Publication Year: N/A. The following organization’s mission is to empower “data scientists and policymakers with practical tools to improve [artificial intelligence (AI)] outcomes.” This page outlines the problem with AI algorithms as garbage in, garbage out. They argue that training datasets need to be assessed based on standard quality measures that are both qualitative…
Author: N/A; Publisher: The Alan Turing Institute; Publication Year: N/A. The following collaboration is an ongoing United Kingdom project working with the Ministry of Justice to ensure ethical use of data and artificial intelligence in the criminal justice system. They aim to conduct research and provide information to fuel dialogues about ethical data. They also stress the need for considering audience of the ethical…
Author: Terence Shin; Publisher: Medium; Publication Year: 2020. The following article begins by giving a brief overview of how dangerous artificial intelligence (AI) models can be if they are not properly checked for biases, then it dives into 3 real-world examples of actual ethical violations and biases that have happened in decision-making processes in real companies. The first involved a healthcare service favoring patients…