Abstract Near-peer and peer-to-peer teaching are powerful, scalable sources of instruction, but translating the necessary teacher training to the same scale is difficult. Inadequate preparation can negatively impact both students and teachers– what if there were a way to expand … Continued
This paper stresses the importance of biases in the field of artificial intelligence (AI) in two regards. First, in order to foster efficient algorithmic decision-making in complex, unstable, and uncertain real-world environments, we argue for the structurewise implementation of human … Continued
Eran Barak-Medina (HTC visiting researcher) recently published the first of a two-part series on AI, ChatGPT, and education. The article(s) are available at EduNow, a Hebrew publication, or you can get a translated version of the article here (thanks to … Continued
osf.io Abstract We use the myth of Pygmalion as a lens to investigate and frame the relationship between women and artificial intelligence (AI). Pygmalion was a legendary ancient king of Cyprus and sculptor. Having been repulsed by women, he used … Continued
A Human-Centered Review of Algorithms in Decision-Making in Higher Education arxiv.org The use of algorithms for decision-making in higher education is steadily growing, promising cost-savings to institutions and personalized service for students but also raising ethical challenges around surveillance, fairness, … Continued
arxiv.org/abs/2302.04288 The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for … Continued
This is fairly specific to the AI Act being considered/written in the EU, but the thoughtful discussion is useful for understanding the challenges of regulating emerging AI technologies. Ryan 2302.02337 PDF Document · 396 KB Ryan Watkins, Ph.D.▲ Professor, George … Continued
AI advice is becoming increasingly popular, e.g., in investment and medical treatment decisions. As this advice is typically imperfect, decision-makers have to exert discretion as to whether actually follow that advice: they have to “appropriately” rely on correct and turn … Continued
2302.00813 PDF Document · 475 KB Value alignment problems arise in scenarios where the specified objectives of an AI agent don’t match the true underlying objective of its users. The problem has been widely argued to be one of the … Continued
Informed consent is a core cornerstone of ethics in human subject research. Through the informed consent process, participants learn about the study procedure, benefits, risks, and more to make an informed decision. However, recent studies showed that current practices might … Continued