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Machine Ethics by Michael Anderson , Susan Leigh Anderson Book Details
| Book Name | Machine Ethics |
| Author | Michael Anderson , Susan Leigh Anderson |
| Category | Mechanical Engineering Books, Education Books |
| Book Language | English |
| Pages | 548 |
| ISBN | 9780521112352 |
| Country | India |
| Book Size | 4 MB |
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About Machine Ethics by Michael Anderson , Susan Leigh Anderson Book
Machine ethics is a branch of ethics and philosophy that focuses on the ethical implications of artificial intelligence (AI) and autonomous machines. It involves examining how AI systems, robots, and other autonomous technologies should behave in morally complex situations, as well as the ethical considerations that should guide their design, development, and deployment.
The rapid advancement of AI and robotics has raised various ethical concerns, such as:
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Bias and Fairness: AI systems can inherit biases present in the data they are trained on, leading to unfair or discriminatory outcomes. Machine ethics aims to ensure that AI systems are designed and trained to be fair and unbiased.
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Autonomous Decision-Making: As AI becomes more autonomous, machines may need to make decisions that have ethical implications. For instance, self-driving cars might need to decide between saving the occupants or pedestrians in an accident. Machine ethics seeks to determine how these decisions should be made and what ethical principles should guide them.
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Accountability and Responsibility: When AI systems make decisions or take actions that have negative consequences, it's important to establish accountability and responsibility. Machine ethics explores questions related to who is responsible for the actions of AI systems and how they should be held accountable.
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Transparency and Explainability: Ethical considerations include the need for AI systems to be transparent and explainable. Users and stakeholders should understand how a decision was reached, especially in critical domains like healthcare and finance.
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Privacy: AI systems can process large amounts of personal data, raising concerns about privacy. Ethical guidelines should address how AI respects and safeguards user privacy.
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Human-Machine Collaboration: Machine ethics also focuses on the collaboration between humans and AI. It involves defining the roles and responsibilities of humans and AI in different contexts.
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Job Displacement: The ethical implications of AI also extend to the economic sphere, as AI can potentially lead to job displacement. Ensuring a just transition for workers and addressing the socioeconomic impact of AI adoption is an important ethical consideration.
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Long-Term Goals and Values: As AI systems become more advanced, there is a concern about aligning AI behavior with human values and long-term goals. Ensuring that AI systems do not act in ways that conflict with fundamental human values is a crucial ethical concern.
Efforts in machine ethics involve the collaboration of ethicists, AI researchers, policymakers, and the broader public to establish guidelines, codes of conduct, and regulations that ensure the responsible and ethical development and deployment of AI technologies. The aim is to strike a balance between technological advancement and societal well-being, promoting a future where AI benefits humanity while minimizing its potential negative consequences.
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