Beyond the Lab: Ethical, Legal and Social Implications in Health Biotechnology

Artificial intelligence (AI) is driving major changes in Healthcare, by improving the accuracy of diagnostics and enabling more personalised and effective treatments, moreover, enhancing the way of delivering the healthcare services. In the year 2024 the global demand for AI in Healthcare reached about 29.01 billion USD, with the projections estimated to rise to around 504.17 billion USD by the year 2032, which reflects a compound annual growth rate (CAGR) of 44%. While incorporating the AI with biotechnology, it raises many complex ‘ethical’ ‘legal’ as well as ‘social issues’ which includes patient autonomy, statistical bias, privacy concerns, and reliance on the animal studies. This paper critically examines and talks about the implications in health biotechnology and considers how ethical standards and legal framework along with social pressures shapes the responsible use of the AI in the field of medicine. The analysis highlights the need for the ethical oversight and clarifies legal guidelines, and unbiased access in AI-based biomedical revolution. The guidelines help us to ensure that AI develops in a responsible, fair and scientific sound way.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-12-12
DOI
https://doi.org/10.1051/bioconf/202520401003/pdf
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Beyond the Lab: Ethical, Legal and Social Implications in Health Biotechnology

Springer Link (Chiba Institute of Technology)
Artificial Intelligence in Healthcare and Education
article

Beyond the Lab: Ethical, Legal and Social Implications in Health Biotechnology

article en

Abstract

Artificial intelligence (AI) is driving major changes in Healthcare, by improving the accuracy of diagnostics and enabling more personalised and effective treatments, moreover, enhancing the way of delivering the healthcare services. In the year 2024 the global demand for AI in Healthcare reached about 29.01 billion USD, with the projections estimated to rise to around 504.17 billion USD by the year 2032, which reflects a compound annual growth rate (CAGR) of 44%. While incorporating the AI with biotechnology, it raises many complex ‘ethical’ ‘legal’ as well as ‘social issues’ which includes patient autonomy, statistical bias, privacy concerns, and reliance on the animal studies. This paper critically examines and talks about the implications in health biotechnology and considers how ethical standards and legal framework along with social pressures shapes the responsible use of the AI in the field of medicine. The analysis highlights the need for the ethical oversight and clarifies legal guidelines, and unbiased access in AI-based biomedical revolution. The guidelines help us to ensure that AI develops in a responsible, fair and scientific sound way.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 43%
Artificial Intelligence in Healthcare and Education
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