Digital Ethics & AI Policy
Assesses whether the organization has a forward-looking policy on the ethical use of digital technologies, data analytics, and Artificial Intelligence (AI) to ensure fairness, transparency, and prevent bias. This includes defining the scope of 'digital ethics' to cover targeted fundraising/advertising, profiling, recommender systems, biometric analytics, and design practices that may manipulate behaviour (dark patterns), ensuring moral implications are addressed alongside data protection.
Amānah
Frames data stewardship, algorithmic accountability, and the rendering of trusts as a divine command.
Lā ḍarar wa lā ḍirār
No harm and no reciprocating harm. Prohibits AI uses that foreseeably cause discrimination, distress, or denial of rights.
Muḥāsabah
Ethical self-audit, serving as a template for periodic AI impact assessments.
Sadd al-Dharāʾiʿ
Blocking the means to potential harms like discrimination or manipulation, mandating a forward-looking, precautionary approach.
ʿAdl
The principle of justice, which entails fair datasets, explainable models, and mechanisms for redress in digital systems.
Iḥsān
The principle of excellence, requiring the embodiment of beneficence in the design, deployment, and audit of AI.
Related Criteria
Discussion (1)
📋 **Version updated: 1.0.0 → 2.9.7** **Changes:** Updated islamic_references from mizan-297.json
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