Melden Sie sich bei getAbstract an, um die Zusammenfassung zu erhalten.

Artificial Intelligence Risk

Melden Sie sich bei getAbstract an, um die Zusammenfassung zu erhalten.

Artificial Intelligence Risk

Knowledge@Wharton,

5 Minuten Lesezeit
3 Take-aways
Audio & Text

Was ist drin?

Artificial intelligence and machine learning can bring rewards but also risks to financial firms.

  • 0.5×
  • 0.75×
  • 1×
  • 1.25×
  • 1.5×
  • 1.75×
1×

Editorial Rating

7

Qualities

  • Overview
  • For Experts
  • Insider's Take

Recommendation

Financial services providers are increasingly integrating artificial intelligence and machine learning (AI/ML) into their customer service and operations functions. However, because the technologies are still in their infancy, executives are not yet well-versed in AI/ML’s uses, utility and pitfalls. In this informative overview for financial industry professionals, experts participating in the Artificial Intelligence/Machine Learning Risk & Security Working Group (AIRS) provide diverse perspectives on AI/ML risk factors and their mitigation.

Summary

Artificial intelligence and machine learning (AI/ML) are disruptive technologies for the financial services sector.

Companies in financial services are eagerly adopting artificial intelligence and machine learning (AI/ML). AI involves the “simulation of intelligent behavior in computers,” while ML “uses algorithms to process large amounts of data and learn from it.” Financial firms want to leverage AI/ML in four main areas: improving customer service and products, streamlining internal infrastructure and efficiency, optimizing revenue, and enhancing risk mitigation and fraud detection.

However, four AI...

About the Author

The Artificial Intelligence/Machine Learning Risk & Security Working Group (AIRS) is affiliated with the Wharton School of the University of Pennsylvania.

Comment on this summary