Ethical AI Use in Facial Analytics, Statistical and Biostatistical Modeling for Health Intelligence: A Case Study on Lapetus Solutions
Data procured for developing our de novo facial analytic models are acquired with consent, always fully anonymous, and never shared outside of the company, ensuring respect for privacy rights.
The predictive models, crafted to avoid biased outcomes, are continually validated and updated using diverse, representative datasets. This minimizes potential biases associated with race, gender, age, and health outcome providing a more equitable assessment for all users.
The AI technology in these models is programmed to ensure fairness and eliminate potential bias. They are trained and validated using large, diverse, and representative datasets, ensuring fair and unbiased risk assessments for various population segments.
Their AI models provide insights into population health trends and aging processes, which are critical for developing proactive health policies and promoting healthy aging. Importantly, their AI systems are designed to maximize the benefits to society while minimizing potential harm, echoing a fundamental principle of bioethics: Beneficence and Non-Maleficence.
Transparency is also a key aspect of Lapetus Solutions’ AI use. The company is open about its methods, ensuring stakeholders understand how their data is being used, how models are built, and how decisions are made. This approach fosters trust among users, regulators, and the general public.
As AI continues to evolve and permeate various sectors, Lapetus Solutions remains a beacon.