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The rise of Artificial Intelligence presents significant ethical challenges, including algorithmic bias, job displacement, and privacy risks. Accountability for harm caused by autonomous systems and the potential for Artificial General Intelligence to surpass human capabilities are also critical concerns. To mitigate these issues, there is a need for international regulations, ethical design principles, and public dialogue focused on fairness and human well-being.

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5 views1 page

Ia

The rise of Artificial Intelligence presents significant ethical challenges, including algorithmic bias, job displacement, and privacy risks. Accountability for harm caused by autonomous systems and the potential for Artificial General Intelligence to surpass human capabilities are also critical concerns. To mitigate these issues, there is a need for international regulations, ethical design principles, and public dialogue focused on fairness and human well-being.

Uploaded by

boxor84164
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© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as TXT, PDF, TXT or read online on Scribd
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The rise of Artificial Intelligence brings with it serious ethical challenges.

One
major issue is bias in algorithms. If training data reflects social inequality, IA
will replicate and even amplify discrimination. Another concern is job
displacement. Automation threatens industries such as transportation,
manufacturing, and customer service, raising questions about the future of
employment. Privacy is also at risk. With IA analyzing massive amounts of personal
data, surveillance and misuse become possible. Beyond these immediate concerns lies
the problem of accountability. If an autonomous system causes harm, who is
responsible the developer, the user, or the machine itself Additionally, there is
the long-term question of control. Some researchers warn about the possibility of
Artificial General Intelligence surpassing human capabilities, which could pose
existential risks. To address these issues, we need international regulations,
ethical design principles, and public dialogue. IA must be developed not only for
efficiency but also for fairness and human well-being.

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