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Insights

Guidelines for marketers to ensure that the use of digital nudging by AI agents is ethical. 

According to South Africa’s National Gambling Board’s annual report, South Africans spent R 1.5 trillion on gambling sites over the past year.  Mostly on betting sites.  Why is gambling so addictive? It has to do with the how people are conditioned to behave and how the brain’s reward system works.   A quick segway into behavioural and neuroscience can…

Important components of an AI literacy and capability building programme 

With increasing pressure to build AI literacy and capability across the organisation, many programme sponsors push for implementation before having mapped competencies and capabilities against a target state.  While speed and agility in digital transformations are important, neglecting crucial steps in the process can result in employee resistance, operational disruptions and technical debt.  The trick is to…

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…