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How to Tell When a Product Is Truly Powered By AI

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Manage episode 359284135 series 3435981
Content provided by Krista Software. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Krista Software or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Evaluating artificial intelligence (AI) products can sometimes be confusing. New AI products appear every day and are challenging to determine which products are truly powered by AI and which are veneers on top of the latest generative AI. The AI hype caused the US Federal Trade Commission (FTC) to issue a warning to software vendors to "Keep your AI claims in Check," so they don't overstate AI capabilities. Therefore, you need to understand the relationships among all of the different AI terms so you can make smart decisions about bringing AI into your business.

FTC Warns About Misleading AI Claims

The FTC is warning emphasizing the importance of transparency and accuracy when making claims about artificial intelligence (AI) products and services. The FTC is concerned that misleading AI claims may harm consumers and undermine trust in the technology. To avoid potential issues, companies should take care to substantiate AI claims, disclose the technology's limitations, and protect user privacy.

  1. Companies must have a reasonable basis for their AI-related claims, including claims about performance, data privacy, and data security. They should be able to substantiate their claims with reliable and relevant evidence.
  2. The FTC emphasizes the importance of transparency in AI decision-making processes. Companies should clearly explain to consumers how decisions affecting them are made, what data is used, and what factors are considered.
  3. Companies should consider external validation to bolster the credibility of their AI claims. This might include certifications, third-party testing, or expert evaluations.
  4. Software companies should avoid making overly broad or unsupported claims about AI in products and services.

How to Know When Products Actually Use AI

Determining how a product or service uses AI begins with understanding and differentiation among AI terms. If you don't understand the capabilities, the inputs, the outputs, the training data, and what they mean, then how are you going to make informed decisions?

We will help you evaluate AI products and arm you with questions you can ask AI vendors to make sure what they are delivering is really AI and not hard-coded logic.

More at krista.ai

  continue reading

59 episodes

Artwork
iconShare
 
Manage episode 359284135 series 3435981
Content provided by Krista Software. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Krista Software or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Evaluating artificial intelligence (AI) products can sometimes be confusing. New AI products appear every day and are challenging to determine which products are truly powered by AI and which are veneers on top of the latest generative AI. The AI hype caused the US Federal Trade Commission (FTC) to issue a warning to software vendors to "Keep your AI claims in Check," so they don't overstate AI capabilities. Therefore, you need to understand the relationships among all of the different AI terms so you can make smart decisions about bringing AI into your business.

FTC Warns About Misleading AI Claims

The FTC is warning emphasizing the importance of transparency and accuracy when making claims about artificial intelligence (AI) products and services. The FTC is concerned that misleading AI claims may harm consumers and undermine trust in the technology. To avoid potential issues, companies should take care to substantiate AI claims, disclose the technology's limitations, and protect user privacy.

  1. Companies must have a reasonable basis for their AI-related claims, including claims about performance, data privacy, and data security. They should be able to substantiate their claims with reliable and relevant evidence.
  2. The FTC emphasizes the importance of transparency in AI decision-making processes. Companies should clearly explain to consumers how decisions affecting them are made, what data is used, and what factors are considered.
  3. Companies should consider external validation to bolster the credibility of their AI claims. This might include certifications, third-party testing, or expert evaluations.
  4. Software companies should avoid making overly broad or unsupported claims about AI in products and services.

How to Know When Products Actually Use AI

Determining how a product or service uses AI begins with understanding and differentiation among AI terms. If you don't understand the capabilities, the inputs, the outputs, the training data, and what they mean, then how are you going to make informed decisions?

We will help you evaluate AI products and arm you with questions you can ask AI vendors to make sure what they are delivering is really AI and not hard-coded logic.

More at krista.ai

  continue reading

59 episodes

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