Results 71 to 80 of about 227,255 (301)

Basic Issues in AI Policy

, 2022
This short paper summarises some of the basic points of AI ethics and policy as they present themselves now.
Müller, Vincent C., Grau-Ruiz, Maria Amparo   +1 more
core   +1 more source

Natural Products as Geroprotective Modulators in Diabetic Nephropathy: A Mechanistic Framework Integrating Aging Hallmarks and the AMPK–SIRT1–Nrf2 Axis

Aging and Cancer, EarlyView.
Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu, Latif Adams, Eunice Ampem‐Danso, Justice Kumi, Abigail Aning, Fatima Hamidu, Mustapha Abdul Mumin Mohammed, Ayuba Nii Darku Ankrah, Seth Kwabena Amponsah   +8 more
wiley   +1 more source

Harnessing Artificial Intelligence to Meet Global Healthcare Challenges: Reparative Algorithmic Impact Assessments in Context

Emerging Media
Artificial intelligence (AI) has the ability to revolutionize global healthcare delivery, offering opportunities to accelerate progress toward Sustainable Development Goal 3: Good Health and Well-being.
Elise E. Racine
doaj   +1 more source

Re‐Awakening Public Attention to the Silent Pandemic of Cancer Among Older Adults in Low‐ and Middle‐Income Countries

Aging and Cancer, EarlyView.
ABSTRACT As global populations age, cancer is increasingly becoming a leading cause of morbidity and mortality among older adults, particularly in low‐ and middle‐income countries (LMICs). Despite accounting for the majority of new cancer cases and deaths, older individuals remain underrepresented in cancer research, clinical guidelines, and health ...
Ibrahim Bidemi Abdullateef, Sunkanmi Folorunsho, Abdulazeez Opeyemi Abdulganiyu   +2 more
wiley   +1 more source

From computation to environmental cost the resource burden of artificial intelligence

Communications Earth & Environment
Here we quantify the material footprint of artificial intelligence training by linking computational workloads to physical hardware needs. Graphics processing unit demand is expressed as equivalent hardware lifetime consumed and, thus, the material ...
Sophia Falk, Nicholas Kluge Corrêa, Sasha Luccioni, Lisa Biber-Freudenberger, Aimee van Wynsberghe   +4 more
doaj   +1 more source

Islamic Ethical Perspectives on AI and Digital Transformation in the 21st Century

Wah Academia Journal of Global Religions
The rapid advancement of artificial intelligence (AI) in the 21st century has spurred intense ethical debates worldwide, yet the prevailing discourse remains an ethics monoculture dominated by Western secular frameworks.
Uzma Waseem, Abdur Rahim
doaj   +1 more source

Ethical risk for AI

AI and Ethics
Abstract The term ‘ethical risk’ often appears in discussions about the responsible development and deployment of artificial intelligence (AI). However, ethical risk remains inconsistently defined in this context, obscuring what distinguishes it from other forms of risk, such as social, reputational or legal risk, for example.
David M. Douglas, Justine Lacey, David Howard   +2 more
openaire   +1 more source

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

The Ethics of AI Ethics. A Constructive Critique

Philosophy & Technology, 2022
AbstractThe paper presents an ethical analysis and constructive critique of the current practice of AI ethics. It identifies conceptual substantive and procedural challenges and it outlines strategies to address them. The strategies include countering the hype and understanding AI as ubiquitous infrastructure including neglected issues of ethics and ...
openaire   +2 more sources

Action-guidance and AI ethics: the case of fair machine learning

A prominent approach to implementing AI ethics involves translating ethical principles, such as fairness and transparency, into practical frameworks and tools that responsible agents, such as ML developers, can use to ensure that machine learning systems
Sahlgren, Otto
core   +1 more source