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, which are magnified by AI use. If not properly assessed & considered, these can lead to growing 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. Embedding Panayotov Matrix in core AI algorithms & models ensures that AI systems 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 from policies, investments & business activities. He notes 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 in any context. Embedding the Matrix in core AI algorithms & models ensures that AI use is safe and benefits all.
Fields of expertise: Economic policy / inclusive economic development, Environmental policy / climate change, Evidence for policy / knowledge valorization, Financing for inclusive development, 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, Social policy, Strategic planning, Sustainable Development Goals



