Non-maleficence

Definition

Non-maleficence is the ethical principle that obligates individuals and organizations to avoid causing harm to others. This principle emphasizes the importance of not inflicting injury or suffering and is particularly relevant in fields like healthcare, research, and technology. It encourages a careful consideration of the potential negative impacts of actions and decisions, ensuring that the benefits outweigh any possible harm.

5 Must Know Facts For Your Next Test

1. Non-maleficence is foundational in medical ethics, requiring healthcare professionals to prioritize patient safety and well-being.
2. In AI applications, non-maleficence raises concerns about data privacy, as misuse of personal information can lead to significant harm.
3. The principle applies to AI-assisted medical decision-making, where biases in algorithms could result in adverse outcomes for certain groups of patients.
4. Implementing non-maleficence in AI design means actively identifying and mitigating potential risks associated with technology usage.
5. Non-maleficence emphasizes continuous monitoring and evaluation of AI systems to ensure they do not inadvertently cause harm over time.

Review Questions

• How does non-maleficence influence the development of AI systems that handle personal data?
  • Non-maleficence influences AI system development by requiring designers and developers to prioritize the protection of personal data from harm. This includes implementing strong privacy measures to prevent data breaches and unauthorized use that could lead to identity theft or discrimination. By considering potential harms during the design phase, developers can create more ethical systems that respect individual rights.
• Discuss how non-maleficence relates to issues of bias in AI-assisted medical decision-making.
  • Non-maleficence directly relates to bias in AI-assisted medical decision-making because biased algorithms can lead to harmful outcomes for specific patient populations. If an algorithm disproportionately affects marginalized groups due to biased training data, it can exacerbate health disparities. Therefore, ensuring that AI systems are fair and equitable is critical for upholding the principle of non-maleficence in healthcare.
• Evaluate the role of non-maleficence in balancing innovation with ethical responsibility in AI design.
  • Non-maleficence plays a crucial role in balancing innovation with ethical responsibility by ensuring that technological advancements do not come at the cost of user safety or well-being. As new AI solutions are developed, it is vital for designers to anticipate potential harms and implement safeguards against them. This proactive approach fosters responsible innovation that respects user rights while pushing the boundaries of what technology can achieve, ultimately leading to a more ethical landscape for AI applications.

Related terms

Beneficence:

The ethical principle that promotes actions that contribute to the well-being of others, often paired with non-maleficence to ensure a balance between doing good and avoiding harm.

Autonomy:

The right of individuals to make their own choices and decisions, which must be respected in conjunction with non-maleficence to prevent harm while allowing personal agency.

Informed Consent:

The process by which a patient or participant is made aware of the risks, benefits, and alternatives related to a procedure or study, ensuring that they can make an informed decision without undue harm.