Life is about to change on the remote island nation of Tuvalu. To great fanfare, Tuvalu – an entirely cash-based society – has unveiled its first ever ATM, marking its move towards financial modernisation. But while the 10,000 people living in that country may be celebrating no longer having to queue at the bank, I fear their happiness will be short-lived. The world's first ATM was introduced in Britain in 1967, but for me the tyranny of machines that promise convenience but erode human contact really began about 20 years ago, in the form of self-checkouts in our local Sainsbury's. Having watched the Terminator movie franchise during my formative years, I railed prophetically against them, aware that it was just a small slippery slope from "unexpected item in the bagging area" to the extinction of the human race.

The number of girls in England studying for a GCSE in computing has more than halved in less than a decade, prompting warnings about the "dominance of men in shaping the modern world". The sharp decline in female participation follows government qualification changes that led to the scrapping of the old information communication technology (ICT) GCSE and its replacement with a new computer science GCSE. While the government's reforms were aimed at creating "more academically challenging and knowledge-based" qualifications, the introduction of the new syllabus has had the unintended consequence of driving female entries down, according to new research by King's College London. In 2015 43% of candidates for ICT GCSE were female, compared with just 21% of those who took GCSE computer science in 2023. In numerical terms, 40,000 female students took ICT GCSE in 2015, with a further 5,000 taking computer science.

Examples of bias and discrimination in AI applications include court decisions [1], job hiring [2], online ads [3], and many other areas prone to bias [4]. These algorithmic decisions have economic and personal implications for individuals. Therefore, Fairness, Accountability, Transparency and Ethics (FATE) in AI must be properly regulated for responsible use cases [5, 6], particularly in high-stakes domains [1, 7, 8, 9, 10, 11, 12]. Studies have shown that machine learning models can discriminate based on race and gender [13, 14, 15]. FATE in AI is intended to address the social issues caused by digital systems, but the current discourse is largely shaped by more economically developed countries (MEDC), raising concerns about neglecting local knowledge, cultural pluralism, and global fairness [16]. As AI systems become more integrated into various products [9, 10, 17, 12, 18, 19], they are a major driver of the fourth industrial revolution (4IR) and transformation [20]. Therefore, it is essential to understand the FATE-related needs of different communities, as AI affects a wide range of people. Ensuring effective transparency cannot be a one-size-fits-all approach [21], as this could disproportionately affect different communities [16, 22]. To this end, more contextualised and interdisciplinary research is needed to inform algorithmic fairness and transparency [23, 24, 25].

Many organizations are determining how to strengthen their teams amid economic uncertainty and skills shortages. Building technical talent is key to helping teams withstand the challenges of undergoing digital transformation. Your approach can differentiate your organization and set it up for success. Whether you're focusing inward or hiring, what matters is a well-defined strategy to help make informed decisions with a positive long-term impact. Melanie Kalmar, CIO at Dow, recently wrote about why you should be focused on building digital acumen; "Building digital acumen is essential across our organization if we're going to realize the true potential of what we're trying to do with digitalization – from the CIO and information systems teams to sales, supply chain, communications, manufacturing, R&D, and more."

The acquisition and use of digital skills are essential for the digital transformation of European economies. Using digital devices to find, evaluate, use, share, curate and create content has become the norm in many if not most professional and social environments. While digital natives -- Millennials and especially Gen Z -- grew up with these new technologies and have gained early exposure and experience, many older workers -- Gen X and beyond -- face higher learning barriers. Moreover, as digital technologies evolve rapidly, with new platforms emerging and ever more complex tools being introduced, regular updating of essential knowledge about these technologies becomes a necessity. Lot of attention, therefore, focuses on the type of skills needed to be able to properly use digital tools and devices and how to introduce this into updated curricula.

If you want to boost your professional skills and looking to make money in the year 2023 and onwards, then learn the following courses related to 21st-century skills. All the courses are well structured and easy to learn. Each Course comprises several modules. Each Module is a combination of several lessons. All the lessons are very intuitive to learn.

With the development of the internet, the world is rapidly going towards digitalization. Search engine optimization (SEO) has become an important digital skill in the present day. Our website Digital Skills PK is continuing to share articles about basic knowledge of digital skills. Beginners can benefit from our articles. In this article, we will talk about the Google search engine results page(SERPs).

Thomas Lim is a public service coach with Thrive Consulting and the dean of Thrive Academy. Many companies today have embraced digital as part of their work and digitalization, and it is a priority on management's agenda. Yet, with the rapid advancement in technology, the level of innovation is at a frenzied rate and growing exponentially. Technology development in the Internet of Things that enables everyday objects to be connected, sensor technologies, artificial intelligence and machine learning have added to the confluence of technologies. Together with blockchain, high-speed mobile, virtual worlds and augmented reality, these have the potential to create unprecedented digital maelstroms.

Washington and Brussels are both preparing for a future dominated by artificial intelligence -- but first, they need to get out of each other's way. Tech regulators on both sides of the Atlantic hope to prevent a split on AI rules like one seen on data privacy, where regulators in Europe got out ahead of their U.S. counterparts and sparked all kinds of havoc that continue to threaten transatlantic data flows. "There is a lot of interest to avoid having segmented approaches," said Elham Tabassi, chief of staff in the Information Technology Laboratory at the National Institute of Standards and Technology. But regulators in the EU and U.S. are already taking different approaches to the multi-trillion-dollar transatlantic tech economy. The EU is plowing ahead with mandatory AI rules meant to safeguard privacy and civil rights while the U.S. focuses on voluntary guidelines.

As technology and data capabilities advance, there is an increasing focus on leveraging data that will enable innovation and deliver new value for customers. Geospatial data is an emerging area of opportunity in the property sector, and it is fast being utilised by agile "proptechs", developers and data scientists. Buildings, like everything, occupy space. For residential and commercial enterprises, the contextual data attached to properties is fertile ground for innovation. Whether helping property developers better understand the spatial contexts of sites or providing homebuyers with easier access to the detail they need, geospatial data is being used more than ever to create solutions that deliver value across the sector.