Articles about AI

The advent of artificial intelligence (AI) and large language models (LLMs) marks a significant turning point for the legal sector. Recent studies suggest a dramatic change is on the horizon, with up to 44 percent of tasks in law firms potentially being automated by AI. This impending transformation necessitates a re-evaluation of legal roles, requiring professionals to adapt and collaborate with AI while also preparing for the emergence of new positions.

AI promises to greatly enhance the efficiency and effectiveness of legal services, from streamlining the creation of legal documents, contracts, and agreements to automating repetitive tasks, to ensure accuracy and uniformity. AI's capability extends beyond mere data extraction; it can rapidly summarize complex documents like depositions and complaints and transform text into actionable insights. This will empower legal professionals to better understand and manage legal obligations, which will significantly enhance client services.

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2023 rapidly became 'The Year of AI Panic' as governments and the press entered into an AI frenzy.

Progress in Generative AI, spearheaded by GPT4’s release in March, offered users incredible tools with a visible utility and practical benefit. Its impact could be felt across their personal and business lives. From that point there has been a buzz around AI with a snowball effect across the media fueled by sudden engagement from the most senior levels of government across the planet. 2023 has seen the AI train fly across our screens, and the pace of developments from a technical, policy and regulatory perspective has been almost impossible to keep up with. So too has the FUD -- fear, uncertainty and doubt that accompanies disruption.

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AI, particularly widely available tools like ChatGPT, has made big waves in 2023. Is this set to continue into next year or will we see a different approach to using the technology?

Here are the views of some industry experts.

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A new report from Abnormal Security highlights real-world examples of how AI is being used to carry out cyberattacks.

Generative AI allows scammers to craft unique email content, making detection that relies on matching known malicious text strings infinitely more difficult.

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In 2023, we witnessed the beginnings of a global AI-driven revolution. With recent studies revealing that one in six UK organizations have already embraced artificial intelligence (AI), these technologies have solidified their position in driving the next wave of digital innovation.

However, until now, organizations have been largely focused on AI experimentation, which has limited the benefits they’ve unlocked. They are now seeking to mature their strategies and embrace AI in a more transformational manner, by embedding these technologies into their core business processes. The launch of solutions like the Open AI GPT Store towards the end of 2023 is set to accelerate this drive for AI maturity, making it easier for organizations to embed ready-built use cases into their operations.

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A new report shows that 79 percent of public sector organizations have started to use AI in production (compared to 83 percent in the private sector) but that trust remains a major concern.

The study, from enterprise resilience platform Splunk, shows trust and reliability in AI-enabled systems -- particularly around cybersecurity tools that employ AI -- continue to be the main concerns for decision-makers (48 percent public, 36 percent private).

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The technology landscape has evolved significantly over the last year with the introduction of technologies such as ChatGPT and other generative AI tools taking the market by storm, while raising concerns about data security and more.

As we move forward into 2024, we anticipate that the impact these new technologies have made this year means they will continue to pave the way forward, with AI remaining a hot topic in the industry, while data security concerns rise around it.

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From governments, to entrepreneurs, to enterprises, organizations are looking to understand and exploit Artificial Intelligence to support data-driven decision making. At the heart of this is knowing how AI, and particularly generative AI, operates. Like so much other technology, effective AI is a matter of data analysis.

Put simply, the more data an AI is fed, and the higher quality, the better its analysis will be. This means that the age-old problem of Garbage In, Garbage Out (GIGO) will always be an issue. But there is another, equally crucial issue to consider -- timeliness. 

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Freepik, known for its extensive platform of audio-visual resources, has launched Freepik Pikaso, a new real-time sketch-to-image generator. The tool is designed to make AI image creation more accessible and efficient.

Using new groundbreaking LCM AI technology, Freepik Pikaso allows users to create an image by sketching in real-time. Creations can be further enhanced with the addition of icons, additional sketches, written prompts, or even images from a webcam. Since its beta launch, the tool has been used to create over 10 million AI-generated images.

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The artificial intelligence revolution is here to stay, and a large part of the reason is the massive economic impact of the technology on the industries it has touched. Effectively implementing AI into a business’s operation requires an incredible amount of planning and precision, as well as consideration of all of the ethical and regulatory challenges associated with the use of the technology.

One of the primary reasons AI has become such an exciting and dominant technology is its ability to process data faster than human workers. In many industries, we have seen efficiency increase by allowing AI and automation to take over simpler and more labor-intensive tasks, enabling human workers to spend more time on tasks that require a more human quality.

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Meta has separated Imagine, its AI-powered image generation tool, from its chatbot by giving the service its own dedicated website. In breaking the image generator out of its messaging apps, Meta will be hoping to see faster uptake and increased interest.

The idea behind Imagine is much like the plethora of other AI image generators. Using Meta's own Emu technology, it will create four images based on text prompts and descriptions provided by users. Images are securely watermarked to make it difficult to pass off an AI image as a photo or a human-made creation. But the launch of the service will prove controversial as it will forced interested users into creating a Meta account.

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As the recent hype and excitement around Generative AI (GenAI) begins to settle somewhat, we are entering a critical phase where innovation must be more closely aligned with ethical considerations. The impact of AI is already evident in various aspects of life, pointing to a future where, ideally, its use is not only widespread but also guided by principled decision-making. In this context, the emphasis should be on using AI to address appropriate problems, not just any problem.

In particular, the early iterations of GenAI platforms have demonstrated their potential but also the need for careful application. In many organizations, GenAI has already improved both customer and employee experiences, with advanced chatbots capable of mimicking human interaction taking automated customer service to a whole new level by providing quick and relevant responses. In an ideal world, this use case highlights AI’s dual purpose: to enhance human capabilities while maintaining a focus on human-centred experiences.

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Microsoft is introducing AI into most of its products and services, and its search engine, Bing, is one of the tools that benefits the most from this addition.

Today, the search giant takes things a step further still, with the introduction of a new AI-powered feature in Bing called, Deep Search. This addition aims to provide more relevant and comprehensive answers to complex search queries, boosting the existing web search rather than replacing it.

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A new study finds that 36 percent of IT workers are very concerned that generative AI tools will take their jobs in the next five years, this is 17 points higher than for other office workers.

However, the report from Ivanti finds office workers are six times more likely to say that generative AI benefits employers than employees.

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This is the time of the month when Microsoft releases preview versions of Patch Tuesday updates, and the company has unleashed the KB5032288 update for Windows 11 in keeping with this.

While the KB5032288 update addresses a number of issues in Windows 11, it is primarily concerned with fixing problems in the recently added Copilot. With Copilot being described as being "in preview" and the update being a preview version, we're in the interesting position of seeing the release of a preview version of an update for preview software. Let's dive in.

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