BLACK & WHITE FACES OF AI: BALANCING INNOVATION AND ETHICAL DILEMMAS IN MULTIDISCIPLINARY RESEARCH
DOI:
https://doi.org/10.65009/dbnapq27Keywords:
Artificial Intelligence, Ethical Dilemmas, Innovation Multidisciplinary Research Responsible AI.,,Abstract
The transformative power of Artificial Intelligence (AI) presents a stark dichotomy: immense
potential for innovation and progress, juxtaposed with serious ethical and societal risks. This
paper, titled "Black & White Faces of AI," employs a multidisciplinary approach across
business, healthcare, education, governance, and social sciences to explore these dual realities.
We examine how AI drives unprecedented gains in efficiency, personalized services, and
decision-making precision, while simultaneously grappling with the "black face" of
algorithmic bias, privacy erosion, job displacement, and the challenge to human agency.
Drawing on global case studies and literature, we argue that the sustainable integration of AI
hinges on establishing robust ethical frameworks, fostering interdisciplinary collaboration, and
enacting policies that prioritize fairness and inclusivity. Our analysis aims to provide
policymakers, researchers, and practitioners with critical insights for navigating this spectrum,
ensuring that we maximize AI's benefits while responsibly mitigating its adverse consequences.
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