Can we trust robots to make moral decisions?Quartz 2025

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AI models are designed to help with decision making when humans cannot handle all the data, variables and parameters involved in managing a situation. However, when intangible human emotions are involved, AI still flounders. AI is driven by algorithms that respond to data and models, not morality and ethics.
One of the foremost ethical concerns surrounding AI is data bias. AI systems are only as good as the data theyre trained on, so objective data curation becomes paramount. Thus, developers and researchers must prioritize and standardize rigorous testing and continuous monitoring.
It has been suggested that machine learning approaches to moral decisions will be limited because they will at best re- sult in human-level moral decision making; they will never exceed the morality of humans.
While AI holds promise to one day achieve a nuanced, human-aligned understanding of morality, presently that capacity remains beyond reach. Existing limitations mean AI systems cannot reason through complex moral dilemmas or make ethically aware independent judgments.
The concern is that robots will be too simplistic in their moral judgments and lack the requisite moral sensitivity. But it could be that humans are too sensitive to the moral ambiguities of life and, as a consequence, too erratic and flexible with their moral judgments.
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If the complex interaction of the robots programming and environment causes the machine to act in a way that is morally harmful or beneficial, and the actions are seemingly deliberate and calculated, then the machine is a moral agent.
Machine Learning and Deep Learning in Robotics For example, in autonomous vehicles, machine learning algorithms can analyze sensor data in real-time to navigate complex road conditions and make decisions regarding speed, lane changes, and emergency responses.

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