Przeglądanie według Autor "Hilcenko, Christine"

Aktualnie wyświetlane 1 - 5 z 5

Artificial Intelligence and Ethics
(The University of Rzeszów Publishing House, 2023-12) Hilcenko, Christine; Taubman-Bassirian, Tara
A more covert aspect of Artificial Intelligence (AI) pertains to the ethical quandaries surrounding the actions of machines. In the case of Large Language Models (LLMs), hidden beneath their seemingly impeccable automated outputs lies a colossal amalgamation of trillions of compiled data points, comprising copied blogs, articles, essays, books, and artworks. This raises profound questions about copyright ownership and retribution for the original authors. But beyond intellectual property, another insidious facet of LLMs emerges – their propensity to cause harm to individuals through what can only be described as hallucinatory outputs. Victims of these AI- -generated delusions suffer defamation, and their plight remains largely unnoticed. Amidst the marvels of AI, the plight of the underpaid laborers who form the backbone of AI development is seldom acknowledged, a subject that warrants more profound discussion. Furthermore, as AI algorithms continue to permeate various aspects of society, they bring to the fore issues of bias. For instance, facial recognition technologies frequently exhibit skewed outcomes, leading to false accusations and grave consequences due to over-reliance on these technologies.
Covid Tracking Apps, Over Reliance on Technology, Bias and Unfairness
(Wydawnictwo Uniwersytetu Rzeszowskiego, 2021) Hilcenko, Christine; Taubman-Bassirian, Tara; Kovacic, Zoran
Various contact tracing apps tracking the spread of the pandemic were issued in different countries. Mainly based on two technologies, centralised with more control by the governments or decentralised controlled by the Apple or Google Android mobile phone systems. In this paper, we will discuss the advantages and disadvantages of the different systems, as well as their potential dangers.
How Does One Learn? Is There a Method?
(Publishing Office UR, Rzeszów, 2020) Hilcenko, Christine
The definition of learning is to gain or acquire knowledge of or skill in (something) by study, experience, or being taught. We discuss here the different methods of learning in traditional and modern societies. We conclude that what we have learned to date is negligible compare to what remains to learn.
Medical Data, Reconciling Research and Data Protection
(Wydawnictwo Uniwersytetu Rzeszowskiego, 2022-12) Hilcenko, Christine; Taubman-Bassirian, Tara
Most of our medical records are being processed electronically, centralised and easily accessible. In this paper, we will discuss the advantages of the system for research, as well as its potential challenges.
Privacy, Education and Human Dignity
(Wydawnictwo Uniwersytetu Rzeszowskiego, 2019) Hilcenko, Christine; Taubman-Bassirian, Tara
Access to knowledge for everyone in the increasingly-interconnected society has been a tool for democracy. We discuss here the dangers of a world online and the growing concerns about state surveillance, security, privacy and exploitation. We discuss our right to protect our individual freedom. We conclude that privacy is a fundamental Human Rights in order to guarantee human dignity and freedom.