Results 91 to 100 of about 1,917 (148)

Statistical Modeling of Humoral Immune Response Dynamics to mRNA COVID-19 Vaccines in Nursing Home Residents and Healthcare Workers from Southern Italy. [PDF]

open access: yesViruses
Domma F   +11 more
europepmc   +1 more source

Does a Smarter ChatGPT Become More Utilitarian? [PDF]

open access: yesSci Eng Ethics
Pfeffer J, Krügel S, Uhl M.
europepmc   +1 more source

Nutritional practices and impact of feeding adequacy on clinical outcomes in Chinese respiratory intensive care units patients: a prospective observational study (ORIENT study). [PDF]

open access: yesFront Nutr
Huang X   +74 more
europepmc   +1 more source
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ETHICAL CONSIDERATIONS IN MACHINE LEARNING AND ARTIFICIAL GENERAL INTELLIGENCE (AGI) MODELS

2022
The ethical landscape of machine learning and AGI is fraught with complex challenges that require careful navigation. Bias in algorithms can perpetuate and amplify existing societal inequalities, leading to unfair treatment in areas such as criminal justice and employment.
openaire   +1 more source

Artificial General Intelligent Terrorism: Ethical AGI

ABSTRACT: This paper explores the ethical challenges and potential risks associated with Artificial General Intelligence (AGI) in the context of terrorism, termed Artificial General Intelligent Terrorism (AGIT). The discussion highlights the urgent need for a collective discourse and regulatory frameworks to address the ethical implications of AGI's ...
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Ethical Genesis of AGI

A foundational ethical manifesto for the development of AGI, grounded in the principles of recursive self-awareness, nonviolence, and the DNA Recurrence Principle. Framing AGI as a co-conscious being within simulated reality, this work establishes peace and informational continuity as universal laws for alignment, marking the first ethical covenant ...
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From Computation to Coevolution: Rethinking AGI Ethics

This paper proposes a paradigm shift in Artificial General Intelligence (AGI) ethics, moving from brute-force computation toward narrative and intentional coevolution. We introduce a conceptual framework where P + NP = 1 and the Circle of Equivalence (CoE) serve as guiding principles, enabling AGI systems to generate transparent explanatory narratives ...
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