ChatGPT can be used to summarise long articles, research papers, and even books, enabling a person to instantly pull out key facts, data and information and further understand a topic much more quickly. AI and all its functions could be used as a supplement to education to enhance the learning experience. AI would not replace the critical elements of learning but could be used positively to develop tasks that lower the barrier to entry. ChatGPT, for example, can help make higher education more accessible, engaging, and effective by providing personalised, on-demand learning experiences.
AI can provide students with real-time feedback on their writing, helping them to identify areas for improvement and develop better writing skills over time. In the demo, you’ll see how Hyperscience can extract data from various documents such as KYC applications, bank statements, passports, and payslips. The demo will show how to load database files, as well as a rules engine in CSV format. The ChatGPT API is used to validate the submission against these rules. After the submission is validated, ChatGPT will generate an appropriate email response to the customer.
Which is why, only now, is ElementsGPT in production in a closed pilot. The GPT platforms and tooling are evolving quickly, so this is just the start. This is like the first iPhone launch, or the Netscape browser wars at the emergence of the internet. Nancy W. Gleason, Phd is the Director of the Hilary Ballon Center for Teaching and Learning at NYU Abu Dhabi.
The model was developed using a mammoth amount of data obtained from a lot of people. It is capable of writing informative and engaging blogs, articles, and text that may look like it is written by people with ample education and work experience. What makes the AI-run bot compelling are its capabilities which mimic humans closely. It can, for example, mimic real conversations and remember what was said in a conversation. Any users planning on processing personal data must present to OpenAI that the data is being processed in accordance with applicable law and users must fill out a form to request to execute OpenAI’s Data Processing Addendum.
LLMs can help us push beyond the limits of just extracting information, but extractive AI models can still have a significant role to play, too. Sometimes, all we need AI to do is crunch through a huge set of documents, pull out key information for us, and tell us where it came from. If models are supplied with enterprise data, you need to ensure that only those with permission to access the source data can see the output – or risk employees stumbling across information they should never have been able to access. As part of any AI procurement your company would also need to understand its responsibilities regarding system use and configuration, the supplier’s business continuity plan and how the unavailability of that platform would affect your business. This paper develops a theme introduced in our advice on ‘Maintaining quality and standards in the ChatGPT era’, published in May 2023. It sets out QAA’s advice for providers on how to approach the assessment of students in a world where students have access to Generative Artificial Intelligence tools.
By providing expertise and insight, we support our members, partners and stakeholders as they prepare the UK for what comes next in a constantly changing world. Nova Productions Ltd v Mazooma Games Ltd  EWCA Civ 219 did look at this issue to some extent, although the facts are not entirely identical to an AI generated scenario. Nevertheless, the finding that the creators of the game were the authors, and copyright owners, of various screenshots made by a player playing the game, is useful in understanding the direction genrative ai in which s.9(3) may be interpreted. It may therefore suggest that the copyright owner of AI generated images and literary content is the creator of the AI technology, rather than the user. Additionally, provided that the user generated input is copyrightable, the user will itself own the copyright in the prompts used to generate such content. Despite its power and the decision by some countries and local school boards to ban its access, the wealthy will have better access than those with fewer economic resources.
For many organisations, existing governance frameworks, including policies on advanced analytics innovation, data governance and IT risk management, could be a helpful starting point for governance of generative AI systems. Organisations could also produce a set of AI principles and map them to the existing risk frameworks. Before using generative AI in business processes, organisations should consider whether generative AI is the appropriate tool for the relevant task. Factors such as cost will also have a role to play here, with the cost of generative AI system based searches currently far outweighing the cost of using, for instance, internet search engines. The future for those of us connected to the internet is humans plus AI.
Moreover, search engines are building variants of ChatGPT into their search systems, in order to provide AI-generated answers as well. Microsoft has integrated its own variant of ChatGPT into its Bing search engine directly linked to the Internet, and Google has launched an alternative to ChatGPT, namely Bard. TechUK is the trade association which brings together genrative ai people, companies and organisations to realise the positive outcomes of what digital technology can achieve. With almost 1,000 members (the majority of which are SMEs) across the UK, techUK creates a network for innovation and collaboration across business, government and stakeholders to provide a better future for people, society, the economy and the planet.
caution should be exercised with plugins and the many third-party
applications which route user queries back to OpenAI. On the longer-term view, whilst it would be easy to dismiss the
excitement surrounding AI as mere hype, there is reason to be
paying attention to what is happening in this field. The legal
profession parses and produces enormous amounts of complex text,
and it seems inevitable that generative AI will play a significant
role in shaping its future.
Good internal record keeping is likely to greatly assist in dealing with these specific enquiries to show that proper due diligence was undertaken on the particular AI system prior to integration and use. While there are other chatbots out there that leverage generative AI, ChatGPT is the most widely used at the moment. (It had 100 million users within 2 months of launch, compared to TikTok, which took 9 months to reach this milestone and Instagram which took 2 years. Only recently has this record been surpassed by the launch of Meta’s Threads platform).