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Insights

Tighter data protection and privacy regulation on the cards 

Every piece of technology that connects people to the Internet collects their personal data, building elaborate profiles on what they are doing, where they are and even who they are. Smartphone applications have the added risk of linking to centralised distribution online marketplaces that could be hacked.  Criminal usage of technology such as cybercrime, identity theft, phishing,…

Human-psychology-centred design 

Human-centred design (HCD) emerged from growing awareness of the potential negative impact computers have on people, both physical and emotional.  This led to a significant shift in human-computer interaction (HCI) development, away from a preoccupation with functionality and efficiency, in other words system-centered design, towards putting people at the focal point of a solution.  The intention of…

An 8-point framework for detecting bias in machine learning models and RAG processes

Artificial intelligence (AI) algorithms are being increasingly used for automated content generation and decision-making. Recent studies have shown that algorithmic decision-making may be innately susceptible to bias which pertains to the fairness of such decisions[i][ii][iii].   The harm bias causes can be representational or allocative.  Representational harm is when a large language model produces stereotypical associations that appear…

The psychology of social media use: How to ensure social ads are effective while being ethical. 

It seems obvious, but a Harvard study over 80 years proved it, that having a social network is good for one’s physical and mental well-being.  Social networks provide social support – the feeling of being cared for by others, which can be emotional, material and informational[i]. This is certainly true of offline networks such as those that one…

Assessing machine learning models (and retrieval-augmented generation) for bias 

Machine learning is a subset of AI that enables systems to learn from data.  I’m particularly interested in how bias enters the machine learning process. It starts at the beginning, at problem formation stage, and can creep in at any stage through to, and post, model or product deployment.   Bias can leak into machine learning processes…

What’s the deal with Ethical AI?

EthicalAI is a dimension of responsibleAI that is mostly concerned with fairness. In other words, that AI treats end users, customers or consumers equally.  It’s gaining more attention because of recent incidences of output bias such as: Other dimensions such as data privacy and security have been more top-of-mind as most companies are moving their customer…