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Tag: Large Language Model (LLM)

AI risks for children – balancing benefits and challenges

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Artificial intelligence (AI) risks for children encompass privacy concerns, over-trust, misinformation and psychological effects, highlighting the need for careful oversight. It is challenging to maximise AI’s benefits for children’s education and growth while ensuring their privacy, healthy development and well-being.

Legislative frameworks for AI – guiding ethical integration

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Legislative frameworks for artificial intelligence (AI) highlights the critical need for regulations to ensure ethical and responsible AI development. AI adoption has increased significantly in recent years. In 2018, companies using AI allocated only 5% of their digital budgets to it.

AI insights from unstructured data – transforming CX

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Every organisation is working to harness artificial intelligence (AI) to improve sales and customer service experiences. However, great AI relies on data. Traditionally, companies have used structured data, such as rows and columns, often from customer relationship management (CRM) applications.

AI simplifying global payroll

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Artificial Intelligence (AI) is revolutionising global payroll management, making it more efficient and accurate – not only for businesses but also payroll professionals. AI isn’t replacing payroll professionals; it’s empowering them. The technology acts as a powerful partner, augmenting payroll professionals’ capabilities, enhancing their productivity and allowing them to play a more integral role in the organisation’s success.

AI driving growth and innovation

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As artificial intelligence (AI) continues to supercharge every aspect of business and society, South Africa stands at a critical juncture. Rather than fearing job displacement, we can harness AI to drive widespread growth and prosperity. By fostering local innovation, investing in AI education, and creating a conducive regulatory environment, we can empower citizens and businesses alike.

The role of AI in combating misinformation – an in-depth analysis

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In an era defined by information overload, distinguishing between fact and fiction has become a paramount challenge. Artificial intelligence (AI) has emerged as a powerful ally in the fight against misinformation, employing sophisticated algorithms and machine learning techniques to ensure the integrity of the information disseminated to the public.

Can the New York times stop the machine?

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The New York Times (NYT) is taking on tech giant Microsoft (MS) and The Disrupters - the OpenAI group of companies (OAI) - in the New York District Court, alleging that MS and OAI are copying and using NYT's work and "massive investment in journalism" without permission or payment to create generative AI (GenAI) tools and products, like Microsoft's Co-Pilot (formerly Bing Chat) and OpenAI's ChatGPT, that compete with it. This, according to NYT, translates into vast savings and profits for MS and OAI.

Automation is not just about AI, it’s about enhancing efficiency

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The terms automation and Artificial Intelligence (AI) have become synonymous with each other in recent times and are often used interchangeably. This can make the concept of automation seem overwhelming to some businesses that are not yet in a stage of their digitalisation journey where AI would be practical or beneficial.

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