Malk Partners’ fourth annual report examines ESG trends across private markets in 2026. It identifies a disconnect where strong LP and GP ambitions face capacity constraints at the portfolio-company level. Key themes include the growth of Responsible AI, decarbonisation strategies, and shifting regulatory landscapes in the US and Europe.

This toolkit provides strategies for state and local governments to manage misinformation during extreme weather. It details trust architecture, risk triaging, and proactive 'pre-bunking' techniques. It examines threat vectors, including AI-generated harms and geopolitical interference, to protect public safety and build community resilience during disasters.

This research introduces the Synergetic Notion of Human-AI Skills and Knowledge Construction (SYNC) model. It addresses the decoupling of learning and performance in GenAI interactions. By identifying four key pitfalls, the model outlines strategies like metacognitive onloading to foster human-AI synergy and ensure durable learning alongside AI-supported performance.

This BSR report assesses human rights impacts in the AI data supply chain. It identifies structural risks like buyer concentration and precarious platform models. Key findings highlight inadequate wages and psychological harm, offering strategic recommendations for companies to improve visibility and governance across their global sourcing practices.

This report by the Financial Stability Board identifies 12 sound practices for the responsible adoption of artificial intelligence in financial institutions. It details organisation-wide governance and lifecycle management, highlighting benefits like enhanced efficiency alongside risks such as third-party dependencies, cyber threats, and explainability challenges in complex systems.

This report explores AI adoption within sustainability solution providers, finding that 83% of organisations utilise AI internally. While LLMs dominate, the sector is shifting from standalone features toward integrated workflows. Primary constraints include data security, though 96% of providers maintain human oversight to ensure auditable and reliable outcomes.

The European Union's Code of Practice on Transparency of AI-Generated Content provides guidance on meeting AI Act transparency obligations. It addresses machine-readable marking, detection, labelling of deepfakes and AI-generated text, technical reliability, compliance processes and disclosure requirements for providers and deployers of artificial intelligence systems.

This policy brief examines AI's impact on developing economies, highlighting a multidimensional divide in infrastructure and skills. It warns of "disruption without dividend", where workers face automation before capturing productivity gains. It advocates for deliberate policy design, prioritising digital public infrastructure and decent work standards to ensure inclusive growth.

The National AI Monitor is a monthly index from JUST Capital that tracks American sentiment on AI. It provides finance professionals with data on how AI impacts workers, consumers, and the environment, highlighting emerging social risks and opportunities.

This report explores the 'golden triangle' of AI, cybersecurity, and data privacy for corporate boards. It highlights emerging 2026 threats like autonomous agent deception and quantum data harvesting. The document provides a 24-KPI dashboard and ten critical questions to ensure integrated oversight and regulatory compliance across diverse sectors.

This report examines the social impacts of AI-driven data centre expansion. It identifies five key challenges for financial institutions, including community opposition and developer unfamiliarity with international standards. The research provides practical insights for banks to integrate social due diligence and leverage influence to improve project outcomes.

This Equidem briefing highlights how platform companies use outsourcing and algorithmic management to evade labour responsibilities. It calls for international standards to include migrant workers and subcontractors, addressing issues like recruitment debt, opaque management, and fragmented accountability across digital supply chains in regions including the Gulf and the Philippines.

This report outlines eight principles for responsible artificial intelligence, addressing challenges such as algorithmic explainability, environmental sustainability, and societal bias. It provides philosophical rationales and practical implementation strategies to ensure AI development respects human dignity and contributes to a just, sustainable future through ethical design and accountability.

This report details ten UNDP initiatives demonstrating how digital transformation drives social impact. Covering nations like Brazil, India, and Ukraine, it showcases human-centred technological investments that improve justice systems, healthcare delivery, and climate resilience. The findings emphasise that institutional change and trust-building are as critical as the technology itself.

This report examines barriers to AI adoption in Australia's energy transition. Despite AI's potential to unlock grid capacity and reduce costs, adoption is hindered by risk aversion, capital expenditure biases, and siloed data. It recommends joint government-industry action, including regulatory reform and innovation funding, to scale transformative AI solutions.

This research explores how AI agents influence expert judgement in underdetermined tasks. A randomised trial found causal-inference practitioners followed AI leans 86% of the time. Despite adopting AI talking points, most experts viewed decisions as their own, highlighting risks of unacknowledged deferral in scientific and policy research.