What does ethical AI aim to ensure in the development of AI technologies?

Ethical AI focuses on ensuring that AI technologies are developed in a manner that is fair, transparent, and accountable. This means prioritizing principles such as justice and equity in the deployment and functioning of AI systems, making certain that the outcomes do not disproportionately harm any individuals or groups. It encompasses the idea that stakeholders involved in AI development should be held accountable for their actions and decisions, and that the systems they create must be fair and equitable.

This approach mitigates issues like bias, discrimination, and other ethical concerns that may arise during the development and implementation of AI systems. It is crucial for fostering trust among users and the public, which in turn promotes better acceptance and integration of AI technologies into society.

The other options address aspects that do not align with the core objectives of ethical AI. For instance, focusing solely on cost reduction or benefiting large corporations would not inherently address fairness or accountability. Similarly, the idea of AI operating without supervision contradicts the principles of oversight and responsibility that are fundamental to ethical AI development.