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Navigating ethics in AI today to avoid regrets tomorrow

Published:
October 26, 2021

Ehsan Foroughi's latest article in Help Net Security discusses the current debate surrounding AI and ML systems is about security, however, focuses on how enterprises must prioritize the ethical implications of AI to remain competitive in the marketplace. Ultimately, artificial intelligence is biased because the humans who create these systems are innately biased. Many enterprises do not understand the decision-making process of their algorithms, which adds to these disparities because they cannot be properly addressed or mitigated. 

As discussed in Issue 10 of our newsletter, major tech companies have ignored the ethical implications of their AI systems. From mounting pressure grows for reforms to how algorithms are used to how data should be stored, the ethical implications of these practices are growing alongside them.

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Ethics & Responsibility