“AI and Society: Mitigating Biases in Machine Learning” addresses the pervasive issue of biases in AI systems and their societal impacts. The paper examines various sources of bias within machine learning algorithms and proposes strategies to detect...
"Community AI Initiative: Leveraging Technology for Local Social Issues" explores the use of artificial intelligence to address pressing social challenges within local communities. The paper details a collaborative framework involving community...
In recent years, the development and implementation of artificial intelligence (AI) technologies have accelerated at an unprecedented pace, posing significant ethical and societal challenges. This paper, "Integrating Humanistic Perspectives in AI...
"Cross-Cultural Analysis of AI Adoption: Implications for Policy and Practice" examines how cultural differences influence AI adoption. The study identifies key cultural factors affecting AI acceptance and usage, providing policy recommendations to ensure...
This paper, "Developing Ethical Frameworks for Artificial Intelligence: A Cultural Anthropological Approach," integrates cultural anthropology with AI development to create ethical guidelines that respect diverse societal norms. Utilizing ethnographic...
Dr. Alex Carter, a leading scholar in ethical AI, holds a Master’s in Data Science and a Ph.D. in Interdisciplinary Studies. His groundbreaking Human-Centric AI Framework earned the Zenith Award for Technological Ethics. A visiting scholar at the Center...
