Tag: Responsible AI

  • The 2025 Stanford AI Index

    The 2025 Stanford AI Index

    And its implications for the future of AI and society. Artificial Intelligence (AI) has become an integral part of our daily lives, transforming industries, societies, and economies at an unprecedented rate. The 2025 Stanford AI Index Report offers a comprehensive, data driven look at AI’s progress, impact, and challenges. However, beneath the surface of impressive…

  • Claude 3 and the Alignment Dilemma

    Claude 3 and the Alignment Dilemma

    How Different AI Models Learn to Reflect Human Values 1. Introduction: Claude 3 and the Real Breakthrough Claude 3, Anthropic’s latest AI model, has captured the attention of the tech world with its performance. It is faster, more capable, and remarkably fluent in conversation. Yet the most important development is not the model’s intelligence, but…

  • The Silent Carbon Crisis: AI’s Energy Appetite Could Derail Sustainability Goals

    The Silent Carbon Crisis: AI’s Energy Appetite Could Derail Sustainability Goals

    The Brutal Reality of AI’s Energy Hunger Artificial Intelligence is transforming the world at a pace never seen before. From powering advanced robotics to predicting climate patterns, AI has become the backbone of modern innovation. But beneath the surface of progress lies a hidden cost, one that could jeopardise global sustainability efforts if ignored. The…

  • MIT’s AI Agent Index: A Wake-Up Call for AI Governance?

    MIT’s AI Agent Index: A Wake-Up Call for AI Governance?

    The rise of agentic AI systems is reshaping the technological landscape. These AI models are capable of reasoning, planning, and executing complex tasks with minimal human oversight. Their integration into software engineering, robotics, and research opens new possibilities for automation, efficiency, and decision-making. However, these advancements also present serious challenges related to safety, transparency, and…

  • AI TRiSM: Trust, Risk, and Security Management in Artificial Intelligence

    AI TRiSM: Trust, Risk, and Security Management in Artificial Intelligence

    Artificial Intelligence (AI) is no longer a futuristic concept. It is embedded in nearly every aspect of modern business, from customer service chatbots to advanced predictive analytics and autonomous decision-making systems. However, with great power comes great responsibility. The rapid adoption of AI has raised significant concerns about security, trustworthiness, fairness, and compliance. Enter AI…

  • The UK Government’s AI Playbook: A Blueprint for Responsible AI Governance

    The UK Government’s AI Playbook: A Blueprint for Responsible AI Governance

    Artificial Intelligence (AI) is reshaping industries, governance, and public service delivery across the world. As governments navigate the delicate balance between innovation and accountability, the UK has taken a significant step forward with its AI Playbook. This 118-page guide outlines ten foundational principles for AI adoption within government and public sector organisations, ensuring that AI…

  • OWASP and AI Security: Safeguarding the Future of Artificial Intelligence

    OWASP and AI Security: Safeguarding the Future of Artificial Intelligence

    Why AI Security Matters Artificial Intelligence (AI) is transforming industries, driving automation, and reshaping the way we interact with technology. However, alongside its rapid adoption, AI presents unprecedented security challenges. Traditional cybersecurity frameworks do not fully address AI-specific risks, making AI applications vulnerable to exploitation, misinformation, and manipulation. Many organisations focus on the ethical implications…

  • Is Your AI Lying to You? The Hidden Risks of RAG and How to Fix Them

    Is Your AI Lying to You? The Hidden Risks of RAG and How to Fix Them

    Artificial intelligence is evolving rapidly, and Retrieval-Augmented Generation (RAG) is emerging as a key solution to improve AI accuracy. Businesses are embracing RAG to reduce hallucinations, enhance real-time responses, and increase trust in AI-generated content. However, there is a critical flaw in this assumption. RAG is often viewed as a fix for AI’s hallucination problem,…

  • Harnessing AI for Sustainability Reporting

    Harnessing AI for Sustainability Reporting

    Sustainability reporting has become a fundamental aspect of corporate governance, with organisations required to disclose their environmental, social, and governance (ESG) data to meet regulatory and voluntary standards. Frameworks such as the Corporate Sustainability Reporting Directive (CSRD), the Australian Sustainability Reporting Standards (AABS S1 and AABS S2), the Business Responsibility and Sustainability Reporting (BRSR), the…

  • Responsible AI: The Need for ‘Human in the Loop’ and Safe Systems

    Responsible AI: The Need for ‘Human in the Loop’ and Safe Systems

    In the age of Artificial Intelligence (AI), we’re witnessing rapid advancements that promise to revolutionise industries, drive efficiencies, and improve the lives of millions. But with these breakthroughs comes a heightened responsibility. AI is not infallible, and when it goes wrong, the consequences can be severe. Whether it’s in healthcare, finance, or public services, unchecked…