Challenges

Artificial General Intelligence (AGI) is emerging not only as a technological breakthrough but as a defining challenge for planetary health and global governance. Its potential to accelerate discovery, optimise resource use, and improve health systems is counterbalanced by risks of inequality, domination, and ecological overshoot. This paper introduces a Justice-First Pluralist Framework that embeds fairness, capability expansion, relational equality, procedural legitimacy, and ecological sustainability as constitutive conditions for governing intelligent systems. The framework is realised through a stylised, simulation-based study designed to demonstrate the possibility of formally analysing justice-relevant paradoxes rather than to produce empirically validated results. Three structural paradoxes are examined: (i) efficiency gains that accelerate ecological degradation, (ii) local fairness that externalises global harm, and (iii) coordination that reinforces concentration of power. Monte Carlo ensembles comprising thousands of stochastic runs indicate that justice-compatible trajectories are statistically rare, showing that ethical and sustainable AGI outcomes do not arise spontaneously. The study is conceptual and diagnostic in nature, illustrating how justice can be treated as a feasibility boundary—integrating social equity, ecological limits, and procedural legitimacy—rather than as an after-the-fact correction. Aligning AGI with planetary stewardship therefore requires anticipatory governance, transparent design, and institutional calibration to the safe and just operating space for humanity.

Planetary boundary transgressions occur as the result of a conflict between human-engineered systems and the natural life-support systems on Earth. In this paper, we validate the Berkana Institute’s Two Loops Theory of Change which posits that big living systems cannot be changed from within. We can only abandon them and start over. We show that the desired objectives of world peace and planetary health can be attained through a “Planet B” style engineering of human systems to meet the 17 UN Sustainable Development Goals (SDG), sans SDG #8 (Economic Growth) and with the addition of Beyond Cruelty Foundation’s SDG #18 (Zero Animal Exploitation). We show that the transition to fully plant-based systems as envisioned in SDG #18 mitigates all seven planetary boundary transgressions and aids in the development of a regenerative, equitable, and sustainable civilization that we call Planet B.

In Latin America, coffee is cultivated in distinct coffee agroecosystems (CASs), ranging from traditional agroforestry (“shade”) systems (CAFSs) to intensive, unshaded (“sun”) monocultures (UCASs). While various socioenvironmental impacts of these systems have been studied, their implications have not yet been integrated within a planetary health perspective. This review of 146 studies applies the Planetary Boundaries and Nature’s Contributions to People frameworks and the DPSEEA (Drivers, Pressures, State, Exposure, Effects, Actions) model to map the relationships between socioenvironmental drivers of change, different CASs, the state of natural systems at local and global scales, and human health and well-being. The analysis shows that conventional intensification, driven by low revenues for producers, climate change, and disease outbreaks, has accelerated deforestation, biodiversity loss, greenhouse gas emissions, agrochemical use and leakage, and water pressures. These changes create health risks for coffee-growing communities, such as pesticide exposure and increased vulnerability to external shocks. Conversely, agroecological practices can mitigate environmental pressures while reducing exposure to health hazards and improving resilience, food security, and income stability. However, mainstreaming these practices requires addressing structural inequities in the global coffee value chain to ensure fairer revenue distribution, stronger institutional support, and the protection of coffee-growing communities.