Algorithm Bias & Accuracy Assessment

Enhance algorithm precision & mitigate risks.

Algorithmic bias refers to systematic and unfair discrimination in the outcomes produced by an algorithm. Biased algorithms can have serious consequences, influencing decisions in critical areas such as hiring, loan approvals, and other domains. In this context, the regulatory landscape in both the U.S. and Europe is growing increasingly stringent for A.I. and automated systems.

Investing in bias-free algorithms grants companies a distinct advantage, enabling them to outperform rivals and secure a stronger market position.

An algorithm free of bias isn’t just ethically sound. It inherently translates to heightened precision and performance—a system that can better discern patterns, trends, and correlations within data, leading to more precise predictions and outcomes.

Our Solution

We offer comprehensive reviews and testing services for your algorithms to identify hidden biases and socio-technical risk factors, including their impact on users and society at large.

We provide standalone reviews, as well as the option to integrate technical testing with compliance assessments for the EU AI Act, D.S.A. Act, or G.D.P.R.

Our algorithm bias consultants

Giovanna Jaramillo Gutierrez, Ph.D, FHCA

An epidemiologist and data scientist, she operates at the intersection of public health and data science. She is a ForHumanity certified algorithm auditor, focusing on technical bias assessment and compliance with the EU AI Act.

Giovanna Jaramillo, Ph.D, FHCA

Principal Consultant

Greg Elliot

A seasoned professional with over 35 years of experience spanning both the private and public sectors. Currently serving as a Lecturer & Senior Researcher in Data Science at the HZ University of Applied Sciences in Middelburg, The Netherlands, John's primary focus lies in Ethical AI by Design. His extensive background encompasses diverse industries, with particular expertise in financial services, telecoms, and IT sectors.

Greg Elliot

Senior Ethical AI Strategist

Xavi Diego, Ph.D

Scientist in the field of Computational Biology, with a background in theoretical physics and numerical methods. The results of his research have been published in top journals across Mathematical Biology, Physics and Robotics. He joins Neuromantics thanks to his expertise in combining theory, machine-learning, and computer simulations applied to scientific research.

Xavi Diego, Ph.D

AI & Science Consultant

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