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LAS 432 Week 7 Course Project Recommendations (Latest Update) GRADED A

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LAS 432 Week 7 Course Project Recommendations (Latest Update) GRADED A

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RUNNING HEAD: Ethical Recommendations of Artificial Intelligence
1




Ethical Recommendations of Artificial Intelligence




(Simpson, 2018)


Shayla Harper

DeVry University

LAS432 Technology, Society, and Culture

Professor Printz

February 18, 2023




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, RUNNING HEAD: Ethical Recommendations of Artificial Intelligence
2

Ethical Recommendations of Artificial Intelligence

Artificial intelligence ethics is a set of moral guidelines and methods meant to guide the

creation and ethical application of AI technology. The implementation of ethics is essential for AI

systems for several reasons, including to create friendly AI systems that will adopt our ethical

standards, to tackle any bias-related problems, to eliminate existential hazards for humanity, and

to promote the welfare of humanity.

Ethical Dilemma One: Replacing of Human Aspect of Decision-Making

Many businesses and governments have abandoned the decision-making process in favor

of AI because they are so confident in it. With this growing trend, there are worries that decision-

making will lose the crucial human emotional component because machines are likely to make

poor choices because they only use logic, and because their reasoning will be so advanced that it

may find some human actions illogical, they may ultimately decide to wipe out humanity. The

robots will be so evolved by then that it will be challenging to kill them.

Ethical Dilemma Two: Market Manipulation

The usage and development of advanced AI in financial markets has raised ethical

questions concerning the potential for market manipulation to the detriment of other market

participants (Antona, Margherita. editor., 2017) . Even individuals in charge of making sure they

operate properly may take advantage of the flaws that they are highly familiar with to the

detriment of other market participants. The possibility for prejudice in the algorithms that enable

AI in marketing raises another ethical problem. AI systems can only learn from data that is as

neutral as the data itself, therefore if the data is biased or slanted in any manner, the AI will

reflect that prejudice.




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