Category: AI Ethics

Data-Driven Governance: Shaping AI Regulation in Singapore

The conversation between Thomas Roehm from SAS and Frankie Phua from United Overseas Bank at the SAS Innovate On Tour in Singapore explores how data-driven regulation can effectively govern rapidly evolving AI technologies. Their discussion highlights the collaborative approach of Singapore’s Project MindForge, which aims to create practical frameworks for AI governance by involving industry practitioners in the regulatory process.

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Artificial Intelligence’s Role in Global Security

Recent developments in artificial intelligence (AI) are transforming various aspects of life and have the potential to address global issues such as peacekeeping and humanitarian responses. However, the misuse of AI poses significant risks to international peace and security, prompting discussions at the UN General Assembly on the governance and responsible use of AI technologies.

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Atlassian’s Commitment to Responsible AI: Progress and Insights

In September 2024, Atlassian joined over 100 industry leaders in Brussels to pledge commitment to responsible AI practices as part of the EU AI Pact. A year later, they released a report detailing their progress and key actions related to their five pledges, emphasizing accountability and the importance of AI governance.

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Integrating Children’s Rights in AI Governance

The increasing presence of AI in education and public services significantly impacts children’s lives, yet their voices and needs are often excluded from decision-making processes regarding AI governance. To safeguard children’s rights, it is essential to involve them actively in the design and implementation of AI systems that affect them.

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Ethical AI Assessment in Latin America: Key Insights and Innovations

UNESCO has developed the Ethical Impact Assessment (EIA) to help institutions evaluate the ethical implications of AI projects, promoting proactive governance and alignment with core ethical values. The EIA was piloted across Latin America, providing valuable insights that will enhance its usability and support responsible AI development.

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Decentralized Solutions to AI Bias

As AI technology rapidly advances, the need for new governance models that prioritize transparency and public good becomes increasingly critical. Decentralized communities, or network states, offer a promising approach to democratizing AI development and addressing inherent biases through community-driven governance.

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New Governance for AI Challenges

President Lee Jae-myung emphasized the need for new governance structures to address the challenges posed by artificial intelligence during an informal briefing ahead of a UN Security Council open debate. He stated that South Korea aims to lead international cooperation to ensure AI contributes to global peace and security.

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Unlocking the Potential of AI in Business Governance

AI is revolutionizing enterprises by streamlining workflows and enhancing productivity, but it also poses significant challenges in governance and oversight. A recent report highlights that companies are spending 37% more time on AI governance and are facing critical gaps in their legacy processes.

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Blueprint for Responsible AI in Government

The debate over the adoption of artificial intelligence (AI) in government is settled, as states are now racing to implement AI responsibly to meet the needs of their residents. This initiative focuses on transparency, safety, and trust, ensuring that AI serves the public effectively while avoiding common pitfalls.

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Co-Creating Ethical AI in Healthcare

The panel discussion on responsible and ethical AI in Singapore’s public healthcare emphasized the importance of starting from the user’s perspective and collaborating closely with stakeholders. It highlighted the need for a holistic approach to address data bias while embedding ethical principles into AI development and ensuring technology serves to support human expertise.

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