{"id":10337,"date":"2026-02-26T11:54:35","date_gmt":"2026-02-26T18:54:35","guid":{"rendered":"https:\/\/www.ometrics.com\/blog\/?page_id=10337"},"modified":"2026-02-26T12:02:21","modified_gmt":"2026-02-26T19:02:21","slug":"ai-discrimination-policy","status":"publish","type":"page","link":"https:\/\/www.ometrics.com\/blog\/ai-discrimination-policy\/","title":{"rendered":"AI Discrimination Policy"},"content":{"rendered":"\n[et_pb_section fb_built=”1″ fullwidth=”on” _builder_version=”4.16″ global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_fullwidth_header title=”AI Discrimination Policy” text_orientation=”center” _builder_version=”4.27.5″ title_font=”||||||||” title_font_size=”38px” custom_padding=”9px||0px” hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″][\/et_pb_fullwidth_header][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ custom_padding=”0px|||||” global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_row _builder_version=”4.16″ global_colors_info=”{}” theme_builder_area=”post_content”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||” theme_builder_area=”post_content”][et_pb_text _builder_version=”4.27.5″ hover_enabled=”0″ global_colors_info=”{}” theme_builder_area=”post_content” sticky_enabled=”0″]

Ometrics LLC<\/span>
Last Revised January 1, 2026<\/strong><\/p>\n

Summary<\/b><\/h2>\n

Ometrics AI and Ochatbot, from here on called \u201cOmetrics AI\u201d or \u201cthe AI\u201d is presented as a chatbot icon and or a search field on a web page. The AI uses data from the website and or data provided by the client as source data to learn from. There are two types of AI, Scripted AI and Generative AI. In some cases, there is logic implemented for decisions before generative AI is activated.<\/span><\/p>\n

Different LLM\u2019s are used to interpret what the user is asking and to translate the result back to the user in the language the user is communicating in. The generative AI is a RAG system. This means only knowledge gained from the data provided is used, not knowledge in the LLM training data set.<\/span><\/p>\n

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Limitations<\/b><\/h2>\n

The AI is limited by the data. The knowledge base of the AI is based on the website data and any added data. If a question is asked and there is no data about that question, a Fallback is triggered, and the user is asked to contact the owner of the site, switch to live chat, fill out a form as a ticket, or call to have their question answered.<\/span><\/p>\n

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Purpose\u00a0<\/b><\/h2>\n

Ometrics AI can be used for an unlimited number of use cases. Typically, it is used in 1) ecommerce systems to recommend products and handle customer service questions after a purchase. 2) lead generation to overcome an objections, answer questions, and offer the customer a form to get a quote or more information. 3) support for a company’s customers, answering questions, and when not able to, creating a ticket which is sent to the clients ticketing system.<\/span><\/p>\n

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Intent and Outputs<\/b><\/h2>\n

Ometrics AI is used to answer questions accurately and provide 1) options for a purchase 2) an answer to a question 3) a way to send information to the company.<\/span><\/p>\n

Consumers are aware they are interfacing with AI because the interface says it’s powered by AI. We also recommend to our clients that the engagement question also states that this is an artificial intelligence, not a human. That said, it is very obvious that they are interfacing with AI, not a person, by how the AI responds and shows products, blogs and other data.\u00a0<\/span><\/p>\n

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AI Evaluation, Data Governance, and Procedures<\/b><\/h2>\n

Ometrics AI is tested on a regular basis. When system-wide updates are made they are posted in the monthly update newsletter to all clients. With each new feature, there are two different testing groups evaluating the change. Active AI systems are tested via <\/span>This is a Human-in-the-Loop.<\/span><\/p>\n