Science and Technology Studies Commons^™

From Polygraphs To Truth Machines: Artificial Intelligence In Lie Detection, Jo Ann Oravec

Critical Humanities

The proliferation of artificial intelligence (AI)-enhanced lie detection tools in business, educational, community, and governmental contexts signals a new era of deception detection. With these AI developments, collections of intimate biometric information such as facial and retinal data, keystroke patterns, brain scans, and physiological changes in the cardiovascular system are combined with personal profiles to produce analyses of a subject’s supposed veracity. This article explores some early lie detection technologies (such as the polygraph) and discusses the influences that lie detection initiatives have had in human interactions through the decades. It addresses the empirical issues of whether specific AI technologies …

Ensuring Responsible And Transparent Use Of Generative Ai In Extension, Paul A. Hill, Lendel K. Narine

The Journal of Extension

Generative artificial intelligence (AI) systems capable of generating human-like text, images, and ideas from existing data based on user-defined prompts, will inevitably impact Extension, including increasing efficiency, productivity, and performing tasks previously exclusive to humans. There are ethical and risk-related considerations surrounding the use of generative AI, including concerns about bias and unintended consequences. It is important for Extension to consider these implications and take steps to ensure that generative AI is used in a responsible and transparent manner. Extension must ensure that educators and staff have the necessary knowledge and skills to effectively utilize and integrate this technology.

Revisiting Cybersecurity Awareness In The Midst Of Disruptions, Avideh Sadaghiani-Tabrizi

International Journal for Business Education

The awareness of cybersecurity and knowledge about risks from a variety of threats, which present harm or steal private information in internetworking could help in mitigation of vulnerabilities to risks of threats in safeguarding information from malware and bots. Revisiting cybersecurity awareness of every member and evaluation of organization’s posture might help to protect sensitive or private information from a network of computers, working together and forming into botnets. The purpose of the qualitative case study narrative was to explore prospects for integrating cybersecurity education into elementary school children’s curriculum through interviews of elementary schoolteachers, IT experts, and parents to …

The Application Of The Right To Be Forgotten In The Machine Learning Context: From The Perspective Of European Laws, Zeyu Zhao

Catholic University Journal of Law and Technology

The right to be forgotten has been evolving for decades along with the progress of different statutes and cases and, finally, independently enacted by the General Data Protection Regulation, making it widely applied across Europe. However, the related provisions in the regulation fail to enable machine learning systems to realistically forget the personal information which is stored and processed therein.

This failure is not only because existing European rules do not stipulate standard codes of conduct and corresponding responsibilities for the parties involved, but they also cannot accommodate themselves to the new environment of machine learning, where specific information can …

The Perceived Ethics Of Artificial Intelligence, Ross Murray

Markets, Globalization & Development Review

Artificial Intelligence (AI) is being used by millions of consumers in their daily lives. Although this technology is providing convenience, information, and instant gratification the underlying moral framework that AI uses remains largely unknown to the consumers of the technology. Two of the mostly widely used moral approaches (deontology and teleology), and their implications for AI, are discussed. The context of chatbots that use AI is examined, specifically exploring Amazon’s Alexa. The context illustrates the issue of the latent moral frameworks that AI technologies use when interacting with consumers or the environment. Although AI holds the promise of many potential …

Backing Up Into Advocacy: The Case Of Smartphone Driver Distraction, Robert Rosenberger

The Journal of Sociotechnical Critique

For the last decade, I’ve been studying the topic of the driving impairment of smartphones. While this began as an exclusively academic project, it has increasingly compelled public engagement. One example of this came in an opinion piece I wrote in 2018 in response to a new traffic law. I take the opportunity here to fill out the academic backstory of this particular op-ed, reflect on how this larger project has evolved to include an unanticipated public-facing edge, and abstract some lessons about public writing.

Speculative Tech: The Bitcoin Legal Quagmire & The Need For Legal Innovation, Paul H. Farmer Jr.

Journal of Business & Technology Law

No abstract provided.