Spillover Effect Details
- Policy
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EU AI Act
- Alternative
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AI Ethics and Impact Assessment Framework for SMEs
- Dimension
- Health
- Criteria
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- Patient outcomes improvement
- Time Frame
- 0
- Score
-
- PositiveImpact
- The comprehensive framework for SMEs is likely to enhance their understanding of ethical AI use, thus promoting safer and more transparent AI solutions in health settings. This proactive approach could lead to improved health outcomes, as patients benefit from AI applications that prioritize fairness and ethical considerations. Additionally, it may foster innovation within SMEs that can create sustainable health solutions, ultimately leading to better patient care and trust in health technologies.
- NegativeImpact
- However, the framework could create a disproportionate burden on SMEs that may lack the resources to effectively implement comprehensive ethical assessments. This could stifle innovation and lead to a stagnation of beneficial AI developments in the health sector, jeopardizing patient outcomes as larger companies dominate the market with less stringent internal practices. Furthermore, if the guidelines are vague or poorly enforced, they may not adequately address bias and discrimination, ultimately harming patients.
- Description
- In ranking this alternative against others, the alternative presents a moderate approach that seeks to enhance the ethical landscape for AI within SMEs. However, it has notable risks of failing to deliver tangible improvements in patient care or advancing the sector significantly in the long term. The lack of immediate, clear benefits to patient outcomes or health policy suggests it might actually hinder the progress of ethical AI in critical areas. Other alternatives, such as the AI Accountability Training and Certification Program, directly target knowledge enhancement and compliance which could yield greater improvements in patient safety and care in high-risk industries. In contrast, this framework relies heavily on the capabilities of SMEs, many of which may struggle under complex regulations, yielding an overall ranking lower than optimal when checking against potential positive impacts on future generations.