The legal and ethical dimensions of consent management
Consent management is closely tied to data privacy and relates to what users have agreed to in terms of if and how their data can be used. This can be to…
CyberPsyche
Responsible AI for marketing, CX and product.
CyberPsyche is a responsible AI consultancy helping brands, agencies and product teams deploy AI responsibly, combining advisory services, experience design and products aligned to the EU AI Act, ISO/IEC 42001 and the NIST AI Risk Management Framework.
Why partner with us?
We help marketing, customer experience and product teams identify ethical, regulatory and reputational risk in AI-driven campaigns, engagement platforms and product features. Before they reach the market.
Our work sits at the intersection of three disciplines:
Responsible AI – international frameworks, regulations and best practice
Cyberpsychology – how humans experience and are influenced by digital technology
20+years of marketing, CX and product delivery – so our recommendations are grounded in what real teams can actually operationalise.
Advisory
Our consultants work directly with your marketing, CX, product, risk and data teams to design responsible AI operating models, run AI ethics impact assessments, prepare for the EU AI Act and ISO/IEC 42001 obligations, and build the internal literacy needed to keep AI programmes in check.
Experience design
We design AI-enabled marketing, CX and product experiences that are responsible by design. From the ethics of an AI-driven customer journey to the interaction patterns of a generative chatbot to the fairness logic behind a personalisation engine. 20+ years of consumer experience design, applied through a responsible AI lens.
Products
Our product line gives teams a repeatable way to do responsible AI on their own, starting with the CyberPsyche EIA platform for structured AI ethics impact assessment, and extending to playbooks, SOPs, literacy programs and governance frameworks that operationalise the work.
CyberPsyche EIA – from $49/month, 14-day free trial
About us
CyberPsyche is a responsible AI consultancy that helps marketing, customer experience and product teams deploy AI responsibly, offering advisory services, experience design and a product line that includes the CyberPsyche EIA platform for structured ethics impact assessments, alongside playbooks, SOPs, AI literacy programs and governance frameworks.
We were founded on a simple observation: AI is being embedded in the parts of the business that touch customers most directly – marketing campaigns, personalisation engines, chatbots, recommendation systems, product features. But the responsible AI conversation is happening mostly in engineering, legal and risk. The team closest to the customer often have the least support to deploy AI ethically.
CyberPsyche was built to close that gap.
What makes us different?
We’re marketing, CX and product specialists first. Most responsible AI consultancies come from engineering or legal. Our founder spent 20+ years designing consumer experiences before certifying as an AI Governance Professional. So our recommendations are grounded in how brand, campaign and product teams actually work.
We combine advisory, experience design and software. Consulting alone doesn’t scale, design without governance doesn’t hold up under audit, and software alone doesn’t fit context. CyberPsyche gives clients all three: hands-on advisory when the stakes are high, experience design to shape AI-enabled journeys and interactions responsibly by default, and productised tooling for the work that should be repeatable and self-serve.
We speak the language of regulators AND creators. Our methodology bridges the vocabulary of the EU AI Act, ISO/IEC 42001 and the NIST AI Risk Management Framework with the day-to-day language of briefs, journeys, personas and product roadmaps. The translation is where most responsible-AI programs fail.
We are grounded in Cyberpsychology. How humans experience digital technology, how they can be nudged, manipulated, empowered or harmed, is central to our assessment methodology.
Insights
Ethical alignment is not the same as legal compliance
Many CIOs wanting to ensure their AI systems comply with regulatory frameworks and laws will bring in their legal or risk professionals to lead a team in evaluating a system’s compliance. However,…
Marketers face an ethical dilemma when using recommender systems in ecommerce
A marketer’s job is to create a demand for a company’s products or services. With competition for consumers being high, marketers use whatever tools they can to attract potential consumers to…
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…
