From the course: Leveraging AI and Data Engineering for Sustainable Solutions
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Analyzing and resolving ethical dilemmas
From the course: Leveraging AI and Data Engineering for Sustainable Solutions
Analyzing and resolving ethical dilemmas
- [Presenter] So the big question here is how can we resolve the ethical dilemmas that arise in AI development. By applying ethical frameworks like consequentialism and deontology, which can guide AI developers in navigating complex ethical dilemmas, focusing on both outcomes and ethical principles, or deontology, which emphasizes following ethical rules and principles. I'll walk you through applying ethical frameworks to AI dilemmas, such as addressing biases and predictive policing, or ensuring fairness in healthcare AI systems. For example, in the case of biased AI systems, applying an ethical framework would involve analyzing both the potential benefits of AI and the harm caused to marginalized communities. AI developers are continuously working to balance ethical considerations with technological advancement, ensuring responsible innovation in areas like justice and healthcare. Resolving ethical dilemmas in AI is an ongoing process that requires input from diverse stakeholders…
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