Justice is the ethical principle that focuses on ensuring fair and equitable treatment for all individuals, promoting equality and preventing discrimination.

Algorithmic bias refers to the tendency of AI algorithms to exhibit bias or prejudice towards certain groups or outcomes, often due to the data used to train the algorithms or the design of the algorithms themselves.

Non-maleficence is the ethical principle that emphasizes the importance of avoiding harm and minimizing the risk of harm to others.

The primary concern with AI in autonomous weapons systems is the lack of human oversight and accountability in AI-driven decision-making, raising ethical questions about who is responsible for the actions of AI-powered weapons and how to ensure ethical decision-making.

Autonomy is the ethical principle that emphasizes the importance of respecting individual autonomy and the right to make choices without undue influence or coercion.

Sustainability in engineering refers to the use of renewable resources and environmentally friendly practices in engineering projects to minimize the negative impact on the environment and ensure the long-term viability of the projects.

Beneficence is the ethical principle that emphasizes the importance of acting in a way that benefits others and promotes their well-being.

The primary concern with AI in facial recognition systems is the potential for AI-powered facial recognition systems to be used for surveillance and tracking, raising ethical questions about privacy and the potential for misuse of personal data.

Justice is the ethical principle that emphasizes the importance of ensuring that the benefits and burdens of technological advancements are distributed fairly and equitably across society, promoting social justice and equality.

The primary concern with AI in healthcare is the lack of transparency and explainability in AI-driven medical decision-making, raising ethical questions about accountability and the ability of healthcare professionals to understand and trust AI-powered systems.

Privacy is the ethical principle that emphasizes the importance of respecting the privacy and confidentiality of personal information, protecting individuals' right to control the use and disclosure of their personal data.

The primary concern with AI in autonomous vehicles is the lack of safety and reliability in AI-driven autonomous vehicles, raising ethical questions about the responsibility for accidents and the potential for harm to passengers and other road users.

Integrity is the ethical principle that emphasizes the importance of acting in a way that is consistent with moral values and standards, even when it may be personally or professionally disadvantageous.

The primary concern with AI in finance is the lack of transparency and explainability in AI-driven financial decision-making, raising ethical questions about accountability and the ability of financial professionals to understand and trust AI-powered systems.

Sustainability is the ethical principle that emphasizes the importance of considering the long-term consequences of technological advancements and ensuring that they align with societal values and well-being, promoting intergenerational equity and environmental sustainability.