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ETHICS AND GOVERNANCE OF AI FOR HEALTH , FIGURE 2 DOCUMENTO - Coggle…
ETHICS AND GOVERNANCE OF AI FOR HEALTH
Summary
1) Protect autonomy
2)Promote human well-being, safety and public interest
3) Ensure transperncy, explainability and intelligibility
4) Foster responsability and accountability
5) Ensure inclusiveness and equity
6) Promote AI that is responsive and sustainable
Potential benefit and
risks
in uses of LMMs in health care
Dignosis and clinical care
Inaccurate responses, poor quality training data, bias, automation bias, degradation of skills
Patient guided use
Inacurate or incomplete statements, manipulation, privacy, less interaction clinicians-patient,
epistemic injustice
, delivery of care outside the health systmen
Clerical and administrative tasks
Inaccuracies and errors, incosistent responses
Medical and noursing education
Contribute to automation bias, undermine the quality of medical education, burden of learning digital skills
Scientific research and drug development
Cannot hold algorithms accountable for content, encode ias based on high-income countries, generate references that doesn´t exist, undermine peer review, differential access to scientific knowledge
Risks to health systems associated w use of LMMs in health care
Overestimation of the benefits of LMMs
Accessibility and affordability
System-wide biases
Impacts on labour
Dependence of health systmes on Ill-suited LMMs
Cybersecurity risks
Carbon and water footprint
Value chain of the development, provision and deployment of LMMs
Development
Provision
Deployment
FIGURE 2 DOCUMENTO