Polymathic

Digital transformation, higher education, innovation, technology, professional skills, management, and strategy


The Ethics of Black-Box Algorithms

Obvious and interesting point in this debate. I still don’t know why it matters why/how a decision gets made. For me, the question is only “is this the right decision?”. Poor or good reasons, even if we can know them, don’t justify or excuse a poor decision.

Incidentally, this is no different than how we think about human beings. The reasons for a decision might be interesting or even informative, but they don’t make the decision itself good or bad.

”Take the right to explainability of how an algorithm comes to a decision. ‘That’s virtually impossible when it comes to black-box models like neural networks,” says Masood. “You cannot explain how a neural network works.’”—Is your digital transformation ethical


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About Me

Visionary leader driving digital transformation across higher education and Fortune 500 companies. Pioneered AI integration at Emory University, including GenAI and AI agents, while spearheading faculty information systems and student entrepreneurship initiatives. Led crisis management during pandemic, transitioning 200+ courses online and revitalizing continuing education through AI-driven improvements. Designed, built, and launched the Emory Center for Innovation. Combines Ph.D. in Philosophy with deep tech expertise to navigate ethical implications of emerging technologies. International experience includes DAAD fellowship in Germany. Proven track record in thought leadership, workforce development, and driving profitability in diverse sectors.

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