Introducing Construct Theory as a Standard Methodology for Inclusive AI Models

by   Susanna Raj, et al.

Construct theory in social psychology, developed by George Kelly are mental constructs to predict and anticipate events. Constructs are how humans interpret, curate, predict and validate data; information. AI today is biased because it is trained with a narrow construct as defined by the training data labels. Machine Learning algorithms for facial recognition discriminate against darker skin colors and in the ground breaking research papers (Buolamwini, Joy and Timnit Gebru. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. FAT (2018), the inclusion of phenotypic labeling is proposed as a viable solution. In Construct theory, phenotype is just one of the many subelements that make up the construct of a face. In this paper, we present 15 main elements of the construct of face, with 50 subelements and tested Google Cloud Vision API and Microsoft Cognitive Services API using FairFace dataset that currently has data for 7 races, genders and ages, and we retested against FairFace Plus dataset curated by us. Our results show exactly where they have gaps for inclusivity. Based on our experiment results, we propose that validated, inclusive constructs become industry standards for AI ML models going forward.


Are Commercial Face Detection Models as Biased as Academic Models?

As facial recognition systems are deployed more widely, scholars and act...

COKE: A Cognitive Knowledge Graph for Machine Theory of Mind

Theory of mind (ToM) refers to humans' ability to understand and infer t...

User Acceptance of Gender Stereotypes in Automated Career Recommendations

Currently, there is a surge of interest in fair Artificial Intelligence ...

ChatGPT, Large Language Technologies, and the Bumpy Road of Benefiting Humanity

The allure of emerging AI technologies is undoubtedly thrilling. However...

HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions

Commercial ML APIs offered by providers such as Google, Amazon and Micro...

Assessing Gender Bias in Predictive Algorithms using eXplainable AI

Predictive algorithms have a powerful potential to offer benefits in are...

Towards Composable Bias Rating of AI Services

A new wave of decision-support systems are being built today using AI se...

Please sign up or login with your details

Forgot password? Click here to reset