Introduction
Jordan is focused on intergenerational Health Equity as premise for achieving Sustainable Development (SD). He points out that all policies & investments have differential impacts on population health, which are magnified by AI systems. If not properly assessed & considered, this can lead to growing health inequalities impeding SD. He argues that inclusive policies should be normative goal and Health in All Policies is the right approach for operationalizing policies & investments in all sectors. Panayotov Matrix embedded in MCPs of AI systems can ensure these are safe and benefit all people.
Expert
Jordan identified generative mechanisms for social impact and created Average Health Status–Health Inequalities Matrix - gold standard for assessing impacts on Population Health from policies, investments & business activities. He points out that SDGs are interrelated & SDG3 Good Health & Wellbeing is common denominator for all of them. The Matrix provides universal explanations & predictions and meets all forms of validity, thus facilitates design & evaluation of inclusive policies that work at any level and local context. Embedded in MCPs the Matrix ensures that AI is safe and benefits all.
Fields of expertise: Economic policy / inclusive economic development, Environmental policy / climate change, Evidence for policy / knowledge valorization, Health and wellbeing, Inclusive social development / inclusive societies / social inclusion, Policy design and delivery, Reduction of inequalities / equity / poverty eradication, Social innovation / public sector innovation / policy innovation, Sustainable Development Goals



