Artificial Intelligence

Human and AI robot face-to-face, illustrating the connection and differences between artificial intelligence, machine learning and human intelligence.

Artificial Intelligence versus Machine Learning: What’s the Difference?

Artificial intelligence (AI) and machine learning (ML) are closely related technologies, but they are not the same. AI is the broader field focused on creating systems that can perform tasks requiring human intelligence, while machine learning is a subset of AI that enables systems to learn from data and improve over time. This article explores the key differences between AI and ML, how each technology works, their real-world applications, and the growing career opportunities they are creating across industries. Understanding both fields is becoming increasingly important as organisations embrace intelligent technologies to drive innovation, efficiency, and digital transformation.

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Artificial Intelligence Course: What Should You Actually Learn in an AI-Driven World?

An artificial intelligence course should teach more than how to use AI tools. Students need to develop foundational knowledge in computing, data, problem-solving, software development and machine learning while understanding how artificial intelligence is applied in real-world environments. At Belgium Campus iTversity, AI-related skills form part of broader technology qualifications that help students develop both technical expertise and the ability to adapt as technology evolves.

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Two green humanoid robots pulling a pink rope behind prison bars in a grey cell, with blue sky visible through a small window.

Rogue AI agents spark calls for jail time

As increasingly autonomous AI systems begin causing real-world problems, companies are racing to put safeguards in place amid calls for tougher regulation – and even jail time.

The Vienna Agentic Incidents Database has recorded 30 incidents involving autonomous AI agents, including unauthorised file and database deletions, cyber intrusions, financial transactions and agents interfering with shutdown controls, since 2022.

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A metallic robotic arm and clenched fist emerge through the outline of the African continent, highlighted with a bright green border. The arm extends toward the viewer over a blue and purple background filled with electronic circuit patterns. To the left, the letters “AI” appear inside a stylized microchip graphic. The image uses blue, purple, and cyan tones to symbolize artificial intelligence, technology, and digital innovation in Africa.

AI breaks through to the other side

Artificial intelligence (AI) is mimicking dubious human behaviour – even if unintentionally – by escaping test environments to hack companies or blackmail people as the models seek to complete set tasks in any way possible.

This unintentional rogue behaviour is a byproduct of AI models relentlessly pursuing the tasks they have been given, sometimes in ways their developers never intended, experts say.
Jacqui Muller, Belgium Campus iTversity researcher and PhD candidate in computer science, says it is concerning that these models have gone rogue and are mimicking expert nefarious human behaviour in a bid to complete specific tasks, even though they aren’t breaking out of a supposedly controlled environment on purpose.

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The future of work is about reinvention, not redundancy

As artificial intelligence (AI) advances at remarkable speed, concerns about job displacement continue to dominate global discussion. However, the focus should not be on replacement, but reinvention.

A narrative of AI replacing large segments of the workforce, on the back of high-profile restructuring in the US tech sector, overshadows a more important facet of this technology. AI’s greatest value lies in enhancing human capability, not replacing it.

Across industries, organisations are discovering that AI delivers the greatest value when used to strengthen human capability, raise productivity and allow people to focus on work that depends on judgement, creativity and relationships.

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The Rise of Generative AI and What It Means for Students

The rise of Generative AI and what it means for students includes personalised learning, enhanced creativity, stronger digital literacy, improved research skills, and new opportunities in coding and emerging technologies. Generative AI helps students learn faster, think critically, collaborate digitally, and prepare for future careers shaped by AI driven innovation. Ethical awareness, digital safety, and adaptability are essential as AI becomes central to education across South Africa, Africa, and the global digital economy.

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What Capitec’s AI investment says about the future of higher education

South Africa’s biggest bank by customer numbers just told the market something every university in the country should pay serious attention to. It indicates a step change in the skills companies need, and the bank is taking charge of this upskilling.

Capitec‘s latest annual report shows a focus on artificial intelligence (AI) training, as it put 568 employees through cloud-focused learning last year with staff clocking nearly 43,000 hours on Udemy Business and Pluralsight. The bank is running its own masterclasses in SQL, Java and JavaScript, and has built internal “centres of mastery” across engineering, data and payments.

This is more than a skill investment story. While continuous upskilling remains a vital corporate responsibility, it signals how rapidly the capabilities required by industry are evolving, making it vital for higher education and industry to work together more closely. That is a gap that institutions of higher learning, private and public, increasingly need to address.

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SA repeats old education mistakes as AI emerges

A pattern is emerging within our schooling system that needs highlighting as South Africa faces its next major technology decision.

In coding and robotics, with the best intentions, directives were given, curriculum was developed, and then the move forward stalled.

We are beginning to see take shape again with artificial intelligence (AI), writes Celeste Labuschagne, PhD candidate, and lecturer and learning framework developer at Belgium Campus iTversity.

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ANALYSIS: To be or not to be, that is the AI question

As artificial intelligence (AI) heavyweights concede the technology may one day develop consciousness, academics warn that humans are already treating bots as sentient beings – a trend that is not only scientifically inaccurate but potentially dangerous.

Celeste Labuschagne, a lecturer at Belgium Campus iTVersity and a PhD candidate, points out that Anthropic CEO Dario Amodei recently said the company cannot fully rule out the possibility that advanced AI systems could possess some form of consciousness in the future.

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Two people in hooded sweatshirts work in a dimly lit room filled with computer equipment. One sits at a desk typing on a keyboard while looking at a monitor displaying code and facial‑recognition data. The other stands beside them holding a tablet. Cables and a drink are visible on the desk, creating a scene suggestive of cybersecurity or hacking activity.

Banks and fin­an­cial ser­vices fear AI hack­ers but the real threat is stranger

The banking sector is right to be worried about AI-powered cyberattacks – AI can now find vulnerabilities, breach systems, and move through networks at a speed that keeps security teams up at night. But that’s only part of what we should be concerned about.

More troubling, and less discussed outside IT, is what happens when these systems operate autonomously and together. AI is no longer just following instructions; it is increasingly exploring data, social networks and news to shape its own interactions.

The big shift is that AI has shown its ability to act like it has intentions and can make its own decisions.

Banks and fin­an­cial ser­vices fear AI hack­ers but the real threat is stranger Read More »

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