How do you ensure that Artificial Intelligence (AI) results are free of errors or with minimal errors?

Use AI decision-making tools with defined algorithms that automate micro-decisions, particularly for real-time and higher-volume decisions.35%

Ensure model reliability, trustworthiness, security, and privacy.51%

Combination of technical and managerial approaches4%

All of the above10%


79 PARTICIPANTS

713 views2 Upvotes4 Comments

President in Software, 51 - 200 employees
You don’t. You accept that these things are imperfect and non-deterministic. You can reduce the error rate by doing the same work on multiple models and looking for agreement / disagreement, just as modern passenger jets do with three dissimilar flight computers. “Free of errors” is like saying a car “free of crashes” - these things will never be true but we can and should aim to get as close to perfection as possible over time without stopping progress along the way.
1 1 Reply
Vice President - Strategy, Digital and Innovation (SDI) in Banking, 10,001+ employees

It is challenging to produce 100% error-free results using AI-generated content in general. Even with the most modern technologies and processes, there is still the possibility of human error or other unforeseen events leading to errors. However, AI-generated material can be extremely beneficial in a variety of domains, including natural language processing, image identification, and predictive analytics.

1
Director of Data in Healthcare and Biotech, 10,001+ employees
There is no way to ensure AI is free of errors, but from a minimal error standpoint I think its important to consider things like cross-validation, testing on diverse datasets, and comprehensive error analysis. In the healthcare world I am in we focus a lot on model bias as well. Healthcare data is often really messy so if AI is being trained without regard to data curation and validation it is likely going to be extremely biased. 
1 1 Reply
Vice President - Strategy, Digital and Innovation (SDI) in Banking, 10,001+ employees

I agree with you and one of my discussion was:
How has the pharmaceutical industry been affected by the integration of artificial intelligence (AI) into research and development (R&D)? | Gartner Peer Community

Content you might like

Yes87%

No12%


10306 PARTICIPANTS

95.5k views253 Upvotes71 Comments

Little effort to identify what services are consuming what resources16%

Little effort to understand pricing tiers of resources41%

Little effort to update surrounding components (e.g., networking) when migrating an existing on-premise service to the cloud33%

Little effort to migrate workloads between environments (e.g., on-premise to public cloud) when trying to save on infrastructure/service costs8%

Little impact to success of application performance based on license limitations0%


465 PARTICIPANTS

1.6k views