1. The Principle of Beneficence: “Do Good”
The Principle of beneficence: “Do Good”
1. The Principle of Beneficence: “Do Good”
AI systems should be designed and developed to improve individual and collective wellbeing.
1. The Principle of Beneficence: “Do Good”
At the same time, beneficent AI systems can contribute to wellbeing by seeking achievement of a fair, inclusive and peaceful society, by helping to increase citizen’s mental autonomy, with equal distribution of economic, social and political opportunity.
1. The Principle of Beneficence: “Do Good”
At the same time, beneficent AI systems can contribute to wellbeing by seeking achievement of a fair, inclusive and peaceful society, by helping to increase citizen’s mental autonomy, with equal distribution of economic, social and political opportunity.
1. The Principle of Beneficence: “Do Good”
AI systems can be a force for collective good when deployed towards objectives like: the protection of democratic process and rule of law; the provision of common goods and services at low cost and high quality; data literacy and representativeness; damage mitigation and trust optimization towards users; achievement of the UN Sustainable Development Goals or sustainability understood more broadly, according to the pillars of economic development, social equity, and environmental protection.
2. The Principle of Non maleficence: “Do no Harm”
By design, AI systems should protect the dignity, integrity, liberty, privacy, safety, and security of human beings in society and at work.
2. The Principle of Non maleficence: “Do no Harm”
AI systems should not threaten the democratic process, freedom of expression, freedoms of identify, or the possibility to refuse AI services.
2. The Principle of Non maleficence: “Do no Harm”
AI systems should not threaten the democratic process, freedom of expression, freedoms of identify, or the possibility to refuse AI services.
3. The Principle of Autonomy: “Preserve Human Agency”
Autonomy of human beings in the context of AI development means freedom from subordination to, or coercion by, AI systems.
4. The Principle of Justice: “Be Fair”
Developers and implementers need to ensure that individuals and minority groups maintain freedom from bias, stigmatisation and discrimination.
4. The Principle of Justice: “Be Fair”
Additionally, the positives and negatives resulting from AI should be evenly distributed, avoiding to place vulnerable demographics in a position of greater vulnerability and striving for equal opportunity in terms of access to education, goods, services and technology amongst human beings, without discrimination.
6. Respect for (& Enhancement of) Human Autonomy
AI systems should be designed not only to uphold rights, values and principles, but also to protect citizens in all their diversity from governmental and private abuses made possible by AI technology, ensuring a fair distribution of the benefits created by AI technologies, protect and enhance a plurality of human values, and enhance self determination and autonomy of individual users and communities.
6. Respect for (& Enhancement of) Human Autonomy
Systems that are tasked to help the user, must provide explicit support to the user to promote her his own preferences, and set the limits for system intervention, ensuring that the overall wellbeing of the user as explicitly defined by the user her himself is central to system functionality.