Extanto has been concerned with the veracity, efficacy and potential bias of content and data generated by AI and the risks to business when AI is used in a business setting.
Best Practices for Responsible AI Implementation: Part 1
Ensure Data Accuracy and Representation: Implement rigorous data validation processes to ensure that the data used for training AI models is accurate, representative, and free from biases.
The Intelligence of Artificial Intelligence
True intelligence is comprised of more than knowledge and the ability to process data and information efficiently; it includes a combination of cognitive abilities and deeper wisdom gained through experience, introspection, and imagination.
Vermont and the Responsible Use of AI
Vermont has had an AI advisory council since 2020, a bit before the rise of ChatGPT and the like, so they had a head start developing guidelines on the ethical use of AI in the work place.
Credibility in Content Creation
Credibility is an essential asset for business. Without it, everything a person or company says can be questioned and their ability
Extanto White Paper About AI Risk Inspired by Gartner, Inc. and Others
For business to adopt AI, it must trust AI. To ensure ethical and reliable content creation, a ruleset is imperative for governing GPT-generated content. Textmetrics is a powerful governance tool, addressing bias and accuracy concerns and mitigating the risks associated with potential copyright issues in GPT’s training data.