AI Use Improves Decision Making

Over time, AI has been targeted to aim for an idealised, ethical standard while using the reflection of societal flaws as a diagnostic tool for improvement-- which makes invisible systematic biases visible, thereby providing a data driven foundation for ethical correction.If left unmanaged,  it will inevitably reflect society flaws, amplify them at a scale and perpetuate inequalities in areas like criminal justice and hiring.

The argument for reflecting on society flaws is still debated as AI models are trained to be able to uncover deep-seated prejudices that might otherwise remain opaque, allowing society to confront its own biases. Highlighting societal flaws through AI help raise awareness about issues such as bias, inequality thus prompting efforts for societal improvement. 

During decision making process  it acts as a corrective tool by reminding human decision makers of objective criteria when they might be leaning on unfounded assumptions.The important role of AI is not to operate in isolation but as a Human-in-the-loop system thus highlighting flaws in frame work and human experts use that reflection to redesign more equitable societal and technical systems.

The strive for an ideal in AI is defined by the shift from high level ethical principles to enforceable governance framework and technical alignment. Systems are built to serve human dignity and rights thus ensuring technology complements rather than replaces human judgement. AI serves as a benchmark for societal improvement providing a vision of a more equitable and just society.