The 3 biggest risks from generative AI - and how to deal with them

Summary

KEY POINTS

1. Sending data to AI-enabled services and data storage is risky.
2. The decision-making process can be compromised, through issues with inputs, and using intellectual property.
3. The range of day-to-day basis cybersecurity issues, such as hackers or even employee errors also stymies adoption.

References

• Media Check: Znet - Media Bias/Fact Check (HIGH CREDIBILITY)
• COLLECTIONS/The Runway (airforce.gov.au)
• ADDITIONAL READING RAAF RUNWAY (PME)
• RAAF RUNWAY: RATIONALE, GUIDELINES, LEARNING OUTCOMES, ETC