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Why businesses will have to audit algorithms, AI and account for risk
ZDNet caught up with Wharton professor Kartik Hosanagar to talk about his book, A Human's Guide to Machine Intelligence, and the growing pains of AI.
The proliferation of algorithms has a bevy of unintended consequences as well as a healthy dose of opportunity. The problem is that businesses aren't prepped for the business risk and the implications algorithms have.
In his book, A Human's Guide to Machine Intelligence, Wharton professor Kartik Hosanagar makes a case for more transparency, procedures to audit algorithms and even regulation.
I caught up with Hosanagar to talk about his book, examples of how algorithms have gone bad and the risks and rewards ahead for AI. I found Hosanagar's book insightful and easily digestible.
Primers: What is AI? | What is machine learning? | What is deep learning? | What is artificial general intelligence?
Takeaways include:
- Algorithms are already proliferating.
- What Microsoft learned from its AI bot experiments in China and U.S.
- The need for algorithm auditing.
- Business and social risks with algorithms.
- The roles of government, industry and enterprises with regulating algorithms.
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