study guides for every class

that actually explain what's on your next test

Normative Ethics

from class:

Business Ethics in Artificial Intelligence

Definition

Normative ethics is a branch of moral philosophy that examines standards for the rightness and wrongness of actions. It focuses on establishing moral guidelines or principles that individuals and societies can follow to determine what is considered ethical behavior. In the context of discussions around artificial intelligence, normative ethics plays a crucial role in shaping how AI systems should be designed and deployed, ensuring that they align with societal values and promote the greater good.

congrats on reading the definition of Normative Ethics. now let's actually learn it.

ok, let's learn stuff

5 Must Know Facts For Your Next Test

  1. Normative ethics helps establish frameworks for evaluating the morality of actions in situations involving AI, such as autonomous decision-making systems.
  2. Utilitarianism, a form of normative ethics, suggests that the best action is the one that maximizes overall happiness or welfare, which can guide AI behavior towards beneficial outcomes.
  3. Different normative ethical theories may lead to varying conclusions about how AI should be programmed to behave in ethical dilemmas, highlighting the complexity of implementing moral guidelines in technology.
  4. The challenge of aligning AI systems with normative ethics raises questions about accountability, transparency, and the potential biases embedded in algorithms.
  5. Normative ethics contributes to ongoing debates about the ethical implications of AI in areas like privacy, surveillance, and bias, influencing policy-making and regulations.

Review Questions

  • How do different normative ethical theories influence decision-making in artificial intelligence systems?
    • Different normative ethical theories offer varying principles that can guide decision-making in AI systems. For instance, utilitarianism focuses on maximizing overall happiness, which could lead an AI to make choices that benefit the majority. In contrast, deontological ethics emphasizes adherence to rules and duties, potentially guiding AI systems to respect individual rights regardless of outcomes. Understanding these differing perspectives is essential for creating AI technologies that are ethically sound and socially responsible.
  • Discuss the implications of applying normative ethics to AI development and deployment in terms of accountability.
    • Applying normative ethics to AI development raises significant questions about accountability. When AI systems make decisions based on ethical frameworks, it becomes crucial to determine who is responsible for those decisionsโ€”developers, users, or the AI itself. This accountability issue is complicated by the opacity of some AI algorithms and their decision-making processes. Establishing clear lines of accountability based on normative ethical principles can help ensure that AI technologies are developed and used responsibly.
  • Evaluate how incorporating normative ethics into AI policy could shape future technological advancements and societal impacts.
    • Incorporating normative ethics into AI policy could significantly shape future technological advancements by promoting a framework for responsible innovation. By embedding ethical considerations into the development process, policymakers can help ensure that AI technologies align with societal values and prioritize human well-being. This approach can also mitigate risks associated with bias, privacy violations, and job displacement. Ultimately, evaluating the potential societal impacts through a normative ethical lens could lead to more equitable and sustainable technological progress.
ยฉ 2024 Fiveable Inc. All rights reserved.
APยฎ and SATยฎ are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.