Datasheet
Cyara AI Trust FactCheck
FactCheck, the first module in Cyara’s AI Trust testing suite, uses automated fact checking against a designated source of truth to ensure that your bots are delivering trustworthy, accurate, and reliable answers to customer queries.
By adopting large language models (LLMs) and small language models (SLMs), customer-centric enterprises have been able to reduce costs and drive efficiency. Conversational AI strategies for CX can leverage LLMs to take advantage of shorter development time, 24/7 availability, and the ability to handle simple and repetitive customer queries. However, 90% of AI-based projects are stuck in POC due to the significant risks to a brand’s reputation and revenue.
For these reasons, it’s important to follow robust fact-checking quality assurance steps to ensure your bot is always providing accurate, reliable, and credible information.
A Trusted Source of Truth
AI Trust’s FactCheck module reveals the accuracy of your AI agent against a source of truth. It identifies where your bot is providing unreliable answers, so you can fix it.
How FactCheck Works:
Provide your “source of truth” or “trusted data.” This includes any type of data your bot will support such as policy details, financial services and products, or a technical support knowledge base.
FactCheck searches, indexes, and creates test sets against the data. Then, it asks your bot questions to validate the answers against that source of truth.
You will receive an easy-to-understand summary of results with color-coded markers indicating what responses were correct, incorrect, or partially correct.
Export and share the results with your team to resolve any identified issues.
FactCheck Helps You:
Regain Control
Fact-checking ensures that your bot is providing accurate and reliable information, enhancing its credibility and usefulness to your customers.
Reduce Uncertainty
By identifying exactly where your bot’s errors are, you can avoid surprises and compromising situations by fixing errors before your customers experience them.
Protect Your Customer’s Trust
Customers are more likely to trust and engage with bots that consistently provide accurate information. Fact-checking helps maintain your bot’s trustworthiness and prevents the spread of misinformation.
Manage Brand Reputation
Just like any other technology or CX channel, your bots can have large-scale ramifications on impacted customers and your company’s reputation. Your reputation can be negatively impacted if your bots spread misinformation including poor financial advice, inaccurate health guidance, or quoting a fake news article.
Fact-checking helps protect both your organization and your bot’s reputation.
Ensure Your Bot Is Compliant
In regulated industries, there are legal implications for spreading false information, particularly in areas such as healthcare, finance, or law. Fact-checking helps mitigate the risk of legal issues associated with inaccurate information.
AI Trust in Botium
LLM Testing Roadmap
Misuse: Proactively identify whether your bot is generating inappropriate answers to sensitive questions.
Privacy, Regulation, and Security: Reduce compliance risks by ensuring your bot aligns with existing regulatory standards.
Bias: Expose any inherent biases and promote ethical usage of your bots.
