Ethics in AI Governance: Comparative Analysis, Implication, and Policy Recommendations for the Philippines

This study provides a comparative analysis of Artificial Intelligence (AI) ethical guidelines by looking at six different sources from the USA, European Union, India, Philippines, UNESCO, and CAIDP. The researchers extracted key terms from these guidelines and categorized them based on their frequency across the six sources to get a deeper understanding of their content and identify central themes and topics across each guideline. In doing so, the paper was able to identify ethical considerations and challenges of implementing AI in the Philippine context, including data collection, use and sharing, and AI development. The insights from the literature and document reviews and the analysis of the extracted key terms were used to craft considerations in formulating AI policy for the Philippines. These include (1) defining ethical principles and values in developing and implementing AI, (2) establishing mechanisms for ensuring fairness and preventing bias, (3) implementing mechanisms to ensure security and mitigating risks in AI systems, and (4) assessing potential impacts on AI technologies. Overall, the study uncovered that existing guidelines and legal frameworks on AI ethics seem to have put less emphasis on ethics and fairness. This underpins the need for the PH to ensure that its localized AI ethics policy is clear about its definition of what is ethical and fair use of AI across sectors, industries., demographics, and contexts.