Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Navigating ethical challenges in digital transformation: insights on climate adaptation, microbiology, healthcare, robotics, and AI under the EU AI act: an experts panel discussion
1
Zitationen
7
Autoren
2025
Jahr
Abstract
The ethical complexities of technological advancement are growing as fields such as climate adaptation, microbiology, healthcare, robotics, and artificial intelligence (AI) evolve rapidly. While these technologies offer innovative solutions to global challenges, they raise significant ethical concerns. In climate adaptation, AI-driven models and remote sensing technologies prompt questions about data privacy, environmental justice, and equitable access, especially for vulnerable populations. Similarly, advancements in microbiology and healthcare, such as genetic research and digital health tools, present ethical dilemmas related to informed consent, data security, and the exploitation of marginalized communities. In robotics and AI, ethical concerns are heightened due to their potential to automate decision-making, affect employment, and infringe on personal freedoms. The influence of AI in healthcare, law enforcement, and public services highlights the urgent need for ethical oversight to prevent bias and protect human rights. The EU AI Act addresses these challenges by categorizing AI systems by risk and setting stringent guidelines for high-risk applications, especially in sensitive sectors like healthcare. This article emphasizes the importance of balancing innovation with ethical responsibility, advocating for comprehensive regulatory frameworks, interdisciplinary collaboration, and global cooperation to ensure that technological advancements align with ethical standards and societal values.
Ähnliche Arbeiten
The global landscape of AI ethics guidelines
2019 · 4.502 Zit.
The Limitations of Deep Learning in Adversarial Settings
2016 · 3.855 Zit.
Trust in Automation: Designing for Appropriate Reliance
2004 · 3.376 Zit.
Fairness through awareness
2012 · 3.266 Zit.
Mind over Machine: The Power of Human Intuition and Expertise in the Era of the Computer
1987 · 3.182 Zit.