Introduction
The Pioneer Research Group for Socially Responsible Artificial Intelligence (SRAI) was founded to address one of the most urgent challenges of our time: ensuring that AI technologies benefit society while upholding ethical values.
AI is now woven into nearly every aspect of life—from news and social media to healthcare and hiring decisions. But alongside its benefits, we’ve seen troubling cases: deepfake-generated misinformation, biased algorithms, and privacy breaches. For example, Facebook’s personalization algorithms have sparked concerns over data misuse, while Amazon’s AI recruitment tool was found to discriminate based on gender. These incidents remind us that AI can shape society in powerful and sometimes harmful ways.
Around the world, Responsible AI is emerging as a guiding principle. The European Union has set out seven key requirements for trustworthy AI, from transparency to diversity. Laws like the GDPR give individuals greater control over their personal data. In Korea, initiatives such as the Data 3 Act revisions and the Ministry of Science and ICT’s national AI strategy signal growing awareness of AI ethics and trust.
Ethics-by-Design
& Governance Frameworks
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Embedding ethical principles into AI systems from
day one, ensuring transparency and accountability.
Cross-Cultural
& Policy-Driven AI Ethics
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Understanding how cultural and regulatory differences shape AI adoption, and developing guidelines that work across borders.
We believe AI ethics is not just a technical issue—it’s a societal one.
Through our work, we aim to contribute to a future where AI is developed and deployed in ways that are innovative, inclusive, and trustworthy, ultimately serving the best interests of people and society.