Navigating the promise and peril of AI in a transforming world: AI’s promise and peril on society, healthcare, and sustainability

This book provides a comprehensive analysis of the societal, healthcare, and environmental implications of artificial intelligence (AI), automation, and digitalization. It underscores the potential of artificial intelligence to address critical global challenges, including climate change and healthcare disparities, while concurrently exploring the substantial risks posed by these technologies. These include the exacerbation of social inequalities, the propagation of misinformation, and the perpetuation of algorithmic biases. A central focus of the book is the ethical dilemmas surrounding AI in healthcare, exploring how AI can simultaneously enhance efficiency and exacerbate existing inequities. Additionally, it investigates how new media amplifies misinformation and examines ethical concerns tied to emotion AI technologies. The author concludes with the proposal of a “Planetary Responsible AI” framework, advocating for equitable, sustainable, and transparent technological solutions to tackle pressing societal and environmental challenges. This framework underscores the importance of thoughtful innovation to align AI with the broader goals of fairness and sustainability

Authors

Institutions

Publication Details

Journal
Health & New Media Research
Published
2024-12-30
DOI
https://doi.org/10.22720/hnmr.2024.00185
Citations
1
Primary Topic
Innovation, Sustainability, Human-Machine Systems
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Navigating the promise and peril of AI in a transforming world: AI’s promise and peril on society, healthcare, and sustainability

Namhee K. Hong
1 citations
Health & New Media Research
Innovation, Sustainability, Human-Machine Systems
1.13
article

Navigating the promise and peril of AI in a transforming world: AI’s promise and peril on society, healthcare, and sustainability

Namhee K. Hong
article en
1 citations

Abstract

This book provides a comprehensive analysis of the societal, healthcare, and environmental implications of artificial intelligence (AI), automation, and digitalization. It underscores the potential of artificial intelligence to address critical global challenges, including climate change and healthcare disparities, while concurrently exploring the substantial risks posed by these technologies. These include the exacerbation of social inequalities, the propagation of misinformation, and the perpetuation of algorithmic biases. A central focus of the book is the ethical dilemmas surrounding AI in healthcare, exploring how AI can simultaneously enhance efficiency and exacerbate existing inequities. Additionally, it investigates how new media amplifies misinformation and examines ethical concerns tied to emotion AI technologies. The author concludes with the proposal of a “Planetary Responsible AI” framework, advocating for equitable, sustainable, and transparent technological solutions to tackle pressing societal and environmental challenges. This framework underscores the importance of thoughtful innovation to align AI with the broader goals of fairness and sustainability

Health & New Media ResearchVol. 8(2)
Syracuse University (US)
Openalex Percentile: Top 14%
Innovation, Sustainability, Human-Machine Systems
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Navigating the promise and peril of AI in a transforming world: AI’s promise and peril on society, healthcare, and sustainability — Namhee K. Hong · Health & New Media Research (2024) | TGRS Research Map | TGRS