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Self-driving cars present complex ethical dilemmas, particularly in life-or-death scenarios. The infamous 'trolley problem' illustrates the moral quandaries faced by AI systems in autonomous vehicles. Decisions made by these systems can have profound implications for both passengers and pedestrians.
The responsibility for these ethical decisions falls on programmers, who must navigate a landscape without clear global standards. As self-driving technology evolves, the need for a collaborative ethical framework involving various stakeholders becomes increasingly critical. This approach aims to balance innovation with public safety and trust.
• Self-driving cars face ethical dilemmas similar to the trolley problem.
• Programmers must navigate moral decisions without global ethical standards.
The trolley problem is a philosophical dilemma used to illustrate ethical decision-making in self-driving cars.
Utilitarianism suggests maximizing lives saved, posing challenges for programming ethical decisions in autonomous vehicles.
Algorithmic bias refers to the potential for AI systems to make unfair decisions based on biased training data.
Epochs focuses on AI systems for electric and autonomous vehicles, addressing ethical programming challenges.
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