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The rapid evolution of generative AI necessitates the adoption of trusted AI systems, particularly in the Philippines. Organizations are focusing on effective governance to build trust in AI technologies, as highlighted by a recent IBM study revealing that many are still struggling with data governance. The discussions among business leaders emphasize the importance of aligning AI tools with ethical values to mitigate risks like bias and discrimination.
Key practices for responsible AI adoption include accountability, transparency, and explainability, which are essential for fostering trust. The Philippines is developing a National AI Strategy Roadmap to promote responsible AI use, while IBM's commitment to ethical AI practices serves as a model for other organizations. Collaborative efforts among industry, government, and academia are crucial for shaping the future of AI governance in the region.
• 58% of Philippine organizations are still consolidating their data governance frameworks.
• IBM's AI Principles of Trust and Transparency guide responsible AI practices.
AI governance involves principles and policies that ensure AI aligns with ethical values.
Responsible AI focuses on ethical oversight, accountability, and transparency in AI systems.
Explainability refers to making AI algorithms understandable to stakeholders, enhancing trust.
IBM is a leader in AI governance, promoting ethical practices and transparency in AI deployment.
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