Forbes: When Will AI’s Rewards Surpass Its Risks?
Commentary by Jay Jamison, President of Product and Technology at LogicGate
Aside from known risks, close to one-third of the risks seen with artificial intelligence are essentially unknown, but they’re out there. Recently, researchers at MIT CSAIL and MIT FutureTech developed a publicly available database, culled from reports, journals, and other documents to shed light on the risks AI experts are disclosing through papers, reports, and other documents.
The database of 700-plus AI risks finds more attributed to AI systems (51%) than humans (34%), and were more likely to be seem after AI was deployed (65%) rather than during its development (10%). However, even the most thorough AI frameworks overlook approximately 30% of the risks identified across the factors surfaced in the database.
These benchmarked risks will help develop a greater understanding the risks versus rewards of this new force entering the business landscape. However, the challenge is understanding exactly when the threshold in which rewards surpass risks is crossed. Industry experts and leaders say we’re not yet at that point.
