An examination of artificial intelligence's significance in reaching the United Nations' sustainable development goals

Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Journal Year: 2025, Volume and Issue: 70, P. 1 - 10

Published: April 25, 2025

This paper assesses the role of AI as one very likely technologies that can best help in achieving Sustainable Development Goals United Nations (SDG's). stands behind revolutionary upgrades fields healthcare, agriculture, education, and ecology. relies on larger sets data uses process machine learning to accomplish diverse objectives, like improving equalizing education opportunities, even introducing sustainable agriculture. Lastly, is used address climate change. open many but at same time, they pose questions ethical problems, effects society, issue may aggravate. proposes temporary adoption stringent laws collaboration among experts research are vital ensuring not abused for benefit society. We underscore significance equality inclusivity developing AI, which, a global level, both benefits improves lives welfare all people.

Language: Английский

---

Adoption challenges to artificial intelligence literacy in public healthcare: an evidence based study in Saudi Arabia

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: April 30, 2025

In recent years, Artificial Intelligence (AI) is transforming healthcare systems globally and improved the efficiency of its delivery. Countries like Saudi Arabia are facing unique adoption challenges in their public healthcare, these specific to AI literacy, understanding effective usage technologies. addition, cultural, regulatory operational barriers increase complication integrating literacy into operations. spite critical contribution enabling sustainable development, limited studies have addressed challenges. Our study explores context Arabian sector, focusing on relevance for advancing operations achieving Sustainable Development Goals (SDGs). The research aims identifying addressing within Arabia. enhance necessity enhancing operations, hurdles that impede successful Arabia’s ecosystem. employs a qualitative analysis using T-O-E framework explore literacy. Additionally, Best-Worse Method (BWM) applied evaluate across various levels supply chain. uncovers substantial at operational, tactical, strategic level, including institutional readiness, data privacy, compliance with frameworks. These complicate chains. offers insights issues affecting promotion sector. This evidence-based provides essential commendations professionals policymakers effectively address identified challenges, nurturing an environment beneficial integration goals development.

Language: Английский

---

Opportunities Offered by AI for Urban Planning

Lecture notes in networks and systems, Journal Year: 2025, Volume and Issue: unknown, P. 619 - 629

Published: Jan. 1, 2025

Language: Английский

---

The research hotspots and theme trends of artificial intelligence in nurse education: A bibliometric analysis from 1994 to 2023

Nurse Education Today, Journal Year: 2024, Volume and Issue: 141, P. 106321 - 106321

Published: July 26, 2024

Language: Английский

---

The green innovation effect of industrial robot applications: Evidence from Chinese manufacturing companies

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 210, P. 123904 - 123904

Published: Nov. 23, 2024

Language: Английский

---