Shaping the Future: Re-imagining AI and Technology for Inclusion

Artificial Intelligence (AI) is often portrayed as a transformative force revolutionising industries and daily life. However, beneath the hype lies a complex reality shaped by ethical, technical, and environmental challenges. Issues such as inherent bias, opacity, and unaccountability in AI systems raise questions about trust and transparency, while the environmental impact of training large models adds to global sustainability concerns. Despite its promise, Al's ethical detachment and cognitive limitations necessitate careful scrutiny. This article explores Al's trajectory, challenges, and hidden costs, advocating for a balanced approach that embraces innovation while addressing risks to ensure responsible and inclusive technological progress.Artificial Intelligence (AI) has often been heralded as the ultimate technological revolution, one that promises to redefine the way we live, work, and interact. From autonomous vehicles to intelligent personal assistants, AI has become the centrepiece of the tech industry's grand narrative. However, behind the glittering fQ(;ade of progress, there lies a more nuanced reality, one that demands a critical examination of Al's promises, limitations, and implications for our world.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-15
DOI
https://doi.org/10.5281/zenodo.17424689
Primary Topic
Prenatal Screening and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
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article

Shaping the Future: Re-imagining AI and Technology for Inclusion

Zenodo (CERN European Organization for Nuclear Research)
Prenatal Screening and Diagnostics
article

Shaping the Future: Re-imagining AI and Technology for Inclusion

article en

Abstract

Artificial Intelligence (AI) is often portrayed as a transformative force revolutionising industries and daily life. However, beneath the hype lies a complex reality shaped by ethical, technical, and environmental challenges. Issues such as inherent bias, opacity, and unaccountability in AI systems raise questions about trust and transparency, while the environmental impact of training large models adds to global sustainability concerns. Despite its promise, Al's ethical detachment and cognitive limitations necessitate careful scrutiny. This article explores Al's trajectory, challenges, and hidden costs, advocating for a balanced approach that embraces innovation while addressing risks to ensure responsible and inclusive technological progress.Artificial Intelligence (AI) has often been heralded as the ultimate technological revolution, one that promises to redefine the way we live, work, and interact. From autonomous vehicles to intelligent personal assistants, AI has become the centrepiece of the tech industry's grand narrative. However, behind the glittering fQ(;ade of progress, there lies a more nuanced reality, one that demands a critical examination of Al's promises, limitations, and implications for our world.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 27%
Prenatal Screening and Diagnostics
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Shaping the Future: Re-imagining AI and Technology for Inclusion · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS