The EX360-AIRR framework provides a structured approach to managing AI-specific risks such as algorithmic bias and security vulnerabilities within enterprise operations. By centralizing risk identification, scoring, and mitigation, it ensures responsible AI adoption and compliance oversight.
India is leveraging AI to democratize financial access, enabling previously excluded groups such as gig workers and micro-entrepreneurs to secure credit through innovative algorithms based on real economic activity rather than traditional documentation. The upcoming India AI Impact Summit in February 2026 will highlight how ethical AI can drive large-scale financial inclusion.
Ahead of the AI Summit in Delhi, industry leaders emphasize the need to balance rapid AI deployment with strong ethical guidelines, stressing transparency, accountability, and human oversight as essential for responsible AI adoption.
India is poised to balance rapid AI advancement with ethical considerations as it prepares for its largest AI summit, emphasizing transparency, accountability, and talent development across sectors.
Gartner predicts that by 2028, half of global organizations will implement zero-trust data policies to address the risks posed by unverified AI-generated content, including model collapse and emerging regulatory demands.
Doni Bloomfield and colleagues highlight the urgent need for flexible governance of biological data used in AI systems to mitigate risks while promoting scientific research, proposing targeted controls on sensitive pathogen data to prevent misuse without hindering progress.
The School of Humanities and Social Sciences at North South University held a seminar discussing the ethical and philosophical implications of Anthropic’s AI model Claude, led by Prof. Dr. Norman Kenneth Swazo, focusing on AI governance and the questions surrounding consciousness.
AI policy across major economies like the EU, US, and China is expanding rapidly, yet it largely fails to address the environmental costs of large-scale computation. This study highlights a structural issue where sustainability is treated as an afterthought, allowing AI growth without binding environmental constraints.
As businesses integrate AI, ethical considerations are essential to build trust and maintain a positive reputation. By leveraging AI as a co-pilot rather than a replacement, organizations can enhance human performance while avoiding potential pitfalls of technology adoption.
China and Indonesia are implementing regulations to address the environmental impacts of artificial intelligence, focusing on energy consumption and sustainability. These measures aim to balance technological advancement with the health of our planet, ensuring that AI development considers its effects on humans and the environment.