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The Corporate Climate Responsibility Monitor (v5.0) establishes a framework to distinguish genuine corporate climate leadership from greenwashing. It assesses companies across four pillars: comprehensive GHG emissions disclosure (Scopes 1, 2, and 3), the alignment of emission reduction targets with 1.5°C pathways, the implementation of sector-specific transitions, and the scaling of durable carbon dioxide removals (CDR). The guidance emphasizes that net-zero claims are misleading without deep absolute reductions and argues against the use of standalone Renewable Energy Certificates (RECs) and traditional offsetting in favor of 'climate contributions' and millennial-scale durable CDR.

Nigeria possesses a significant 'youth bulge', with approximately 70% of its population under 30 and a median age of 18.1 years. While this presents an opportunity for a 'demographic dividend'—accelerated economic growth driven by a large working-age population—the document warns that failure to invest in human capital and economic reform could lead to a 'demographic disaster'. Key obstacles include high youth unemployment (estimated at 53.4% for ages 15–24 in 2020), a mono-economy dependent on crude oil, and an education system that fails to align curricula with market needs. The brief argues that unlocking this potential requires a multi-pronged approach focusing on human capital, economic opportunity, gender equality, and effective governance.

In 2024, global electricity generation reached new record highs for solar, wind, hydro, gas, and coal. Solar was the fastest-growing source, increasing by 474 TWh to reach a 6.9% share of the global mix, with China contributing 53% of this growth. Wind generation also hit a record of 2,494 TWh, though growth slowed due to weather conditions. Hydro rebounded to an all-time high of 4,416 TWh following 2023 droughts, largely driven by China. Nuclear generation grew by 2.5% to 2,768 TWh, but its global market share fell to a 45-year low of 9%. Gas and coal both reached record generation levels in 2024, though their shares of the global electricity mix declined to 22% and 34% respectively, as electricity demand grew faster than their production.

Civil society organisations are protesting the handover of McDonald’s-branded ‘Mi Desk’ desks to Cape Town schools, facilitated by the Minister of Basic Education. The groups argue that such donations are not charity but junk food marketing targeting vulnerable children amidst a crisis of malnutrition and obesity. They contend that corporate philanthropy fills gaps created by state austerity and disinvestment, particularly in rural and working-class communities. The statement calls for the immediate recall of branded desks, the finalisation of regulations to restrict the marketing of harmful foods to children, and proper funding of education by the National Treasury to remove the need for corporate partnerships.

The report examines the implementation of the EU and UK Carbon Border Adjustment Mechanisms (CBAMs) and the preliminary findings of Australia's Carbon Leakage Review. It highlights the shift from free allocation of emissions permits to border adjustments to prevent carbon leakage, where emissions reductions in one country are offset by increases elsewhere. The EU CBAM is set for full implementation by 2026, and the UK CBAM by 2027. Australia is considering a BCA as a 'robust underpinning' to its Safeguard Mechanism. The document also analyzes WTO discussions from 2020 to 2024, noting a transition from general concerns about protectionism and WTO compliance toward specific discussions on cooperation and interoperability.

The report provides a detailed analysis of the implementation of Carbon Border Adjustment Mechanisms (CBAMs) in the EU, UK, and Australia. It examines the transition from free allocations to border adjustments in the EU, the UK's planned 2027 launch, and Australia's ongoing carbon leakage review. Additionally, it tracks the evolution of multilateral discussions at the WTO, noting a shift from general concerns about protectionism toward specific technical cooperation and interoperability.

The report provides a comprehensive overview of carbon border adjustment mechanisms (CBAMs) as tools to prevent carbon leakage. It details the operational timelines and design features of the EU and UK mechanisms, analyzes a proposed Australian framework, and tracks legislative efforts in the US, Canada, and Taiwan. Additionally, it examines the evolving nature of CBAM discussions at the WTO, noting a shift from general concern toward specific design cooperation and interoperability.

The report analyzes 215 cases of GenAI use in 2024 elections across 50 countries, finding that 80% of these countries experienced GenAI-related incidents. The majority of these cases (90%) involved content creation, such as deepfake audio and video, and 69% were classified as harmful to the electoral process. A significant portion of the content (46%) had untraceable origins, while 20% was attributed to foreign actors, all of whom were found to be acting with harmful intent. The document advocates for increased transparency, disclosure mandates for AI-generated political content, and improved detection mechanisms to protect democratic integrity.

The report finds that 80% of countries with competitive national elections in 2024 experienced GenAI-related events, with 69% of these events having a harmful impact. The majority of GenAI use focused on content production, and nearly half of the events had unknown sources.

The report analyzes 215 recorded GenAI incidents across 50 countries during 2024 elections, finding that 80% of these countries experienced such incidents. GenAI was primarily used for synthetic content production, with 69% of cases deemed harmful to electoral integrity. Attribution is a significant challenge, as 46% of sources remained unknown, while political candidates and foreign actors accounted for 25% and 20% of incidents, respectively.

The report identifies a crisis of information integrity about climate science, characterized by a shift from outright denial to more nuanced skepticism and 'response skepticism' regarding climate solutions. It documents how powerful economic interests, particularly the fossil fuel industry, and political actors use strategies like greenwashing, delay, and obstruction to undermine scientific consensus. The review highlights the role of social media algorithms, bots, and 'source media' (such as corporate reports) in amplifying misleading narratives. It concludes that while individual-level interventions like inoculation and education are valuable, systemic governance through public regulation, standardized corporate reporting, and litigation is essential to restore information integrity.

The IPIE analyzed GenAI usage across 50 countries with competitive national elections in 2024. Findings show that GenAI was reported in 80% of these countries, primarily for content creation (90% of cases). While 69% of instances served malicious ends, 16% were benevolent. The study highlights a significant challenge in actor identification, with 46% of cases remaining unclear, and notes that foreign actors were involved in 20% of reported incidents, all for nefarious purposes.

The report examines the dual-use nature of AI in peacebuilding, highlighting its potential to enhance conflict forecasting, real-time mapping, and inclusive dialogue while warning against risks such as algorithmic bias, surveillance, and the erosion of human facilitation skills. It emphasizes that AI's effectiveness depends on a healthy information environment and a rights-based approach to design and governance.

The report finds that 80% of countries with competitive national elections in 2024 experienced GenAI-related incidents, with 69% of these incidents having a harmful impact. The majority of GenAI use focused on content creation (90%), and nearly half of the incidents (46%) had unknown sources. While some positive uses for civic engagement were noted, the document emphasizes the risks of disinformation and foreign interference, calling for mandatory disclosure standards and improved detection mechanisms.

The report analyzes 215 incidents of generative AI use across 50 countries that held competitive national elections in 2024. It finds that GenAI was present in 80% of these countries, primarily used for creating synthetic content such as deepfake audio and video. A significant majority (69%) of these incidents were categorized as harmful to the electoral process, with 20% attributed to foreign actors, all of whom demonstrated harmful intent. The document emphasizes the challenge of anonymity, as 46% of incidents had unidentifiable authors, and recommends mandatory disclosure norms and improved detection methods to protect democratic integrity.

The report analyzes 215 incidents of GenAI use in 2024 elections across 50 countries, finding that 80% of these countries experienced GenAI-related incidents. The vast majority of use (90%) focused on content creation, and 69% of incidents were classified as harmful. A significant portion of GenAI content (46%) remains unattributed, while 20% is linked to foreign actors, all of whom were found to have harmful intentions. The document advocates for mandatory disclosure and transparency standards to protect electoral processes.

The report analyzes 215 incidents of generative AI (GenAI) use during 2024 national elections across 50 countries. It finds that 80% of these countries experienced GenAI-related incidents, with 90% of cases involving the creation of synthetic content such as audio, images, and video. Approximately 69% of these incidents were classified as harmful, often involving impersonation or disinformation. While 38% of uses were deemed useful—such as for civic outreach or simplifying communications—nearly half of all incidents (46%) came from unknown sources, complicating accountability and transparency.

The report analyzes 215 incidents of GenAI use in 2024 elections, finding that 80% of countries with competitive elections experienced such incidents. The majority of these cases involved content creation (90%) and were deemed harmful to the electoral process (69%). A significant portion of the sources remain unknown (46%), while political candidates (25%) and foreign actors (20%) are the primary identified sources. The document recommends transparency standards and disclosure requirements to protect electoral integrity.

The report finds that GenAI was present in 80% of competitive national elections in 2024, primarily used for creating synthetic content like deepfakes. While some beneficial uses for civic outreach were noted, 69% of incidents were categorized as harmful. A significant portion of GenAI content (46%) remains unattributable to a known source, complicating electoral governance and transparency.

The document analyzes the role of Generative AI in 2024 national elections across 50 countries. It finds that 80% of these countries experienced GenAI incidents, with 90% of those cases involving content creation such as audio, images, and video. A significant portion of these incidents (69%) were classified as harmful to electoral integrity, and nearly half (46%) originated from unknown sources. The report highlights specific examples of misuse in countries like Romania, Bangladesh, and Taiwan, while noting some beneficial uses in Japan. It concludes by recommending mandatory disclosure standards and increased transparency to protect democratic processes.