ChatGPT & Generative AI A Data Protection Nightmare?

The sophistication and convincing nature of the text it can generate signals a phase transition in the capabilities of artificial intelligence (AI). CEO of OpenAI, Sam Altman, tweeted on December 11th, that it is a “preview of progress.” He released this to the public to socialise us to it and to train the model. Future iterations will be monetised for certain, and there is already a $20 per month option which promises ease of access at high speeds during peak hours. Products, services, and even new jobs will come from the inevitable applications of this platform. Later versions of the model will get us very close to artificial general intelligence or singularity.

Therefore, harnessing the social opportunities of ChatGPT could help us make digital innovation more accessible and break the digital ceiling. Generative AI’s rise seems sudden, but an industrywide embrace of the technology’s disruptive potential will take time. Early movers have the most to gain, so preparing for implementation now—or at least getting started—is paramount. In the full report, we delve into how generative AI could affect the financial services space, identify the most and least promising use cases, and define steps providers can take to prepare for its rise. Click here to purchase this report and use code CHATGPT100 for $100 off.

A Primer on ChatGPT, LLMs, and Generative AI

I call the chatbot “The Scarlet Speedster” of the content creation realm. The bot’s superspeed, intangibility, and contextual knowledge are what make it so darn charming. But — and this is a big but — it’s sensible to heed the super bot’s top weakness lest it ruins your reputation and authority in the field. An example of the efficiency of Generative AI is how Trust Generative AI generated 100,000 product descriptions for the Ventis.it website in minutes and at a cost more than 10,000 times lower than traditional means of generation. The generated descriptions were more than 95% aligned with other descriptions generated by the editorial department and were produced using prompts optimised by Trust Generative AI.

There may also be the potential for unfair discrimination claims and other employment-related issues if, for example, underlying systems have been trained on particular data sets which could unfairly discriminate against certain groups or ethnicities. This webinar looked at how it’s right to address the threat ChatGPT poses to academic integrity, but that it’s also an amazing new tool. This panel explored the opportunities ChatGPT presents the sector, from admin, to teaching, to learning. Then there are environmental issues, as large language models are highly data-intensive. Similarly, it might not be able to perfectly replicate the tone that you or your colleagues would use in communications, or the overarching voice of your brand. And in sensitive contexts, it might not provide an appropriate response.

Global Director of Tech Policy

While every user will likely have a different experience, there are three predominant limitations I would advise anyone using ChatGPT or other generative AI in a business capacity take notice of. Despite not originally being designed for such purposes, ChatGPT has become a useful translation tool, more accurately translating longer form content than the likes of Google Translate and other free tools available online. There are a vast range of AI technologies and tools available; some even feature in the tools we already use. Other opportunities include virtual tutoring, quick question answering, providing personalised feedback on student work, and more. GPT can be used to generate new ideas and research questions for academic research, providing a starting point for further exploration and investigation. Any time you’ve had to show an ID, pay stub, or even a passport, you’ve participated in an organization’s KYC validation.

• Openbusinesscouncil offers a global business, SMEs wiki directory blockchain, NFTs, AI powered marketplace for businesses worldwide.
• The development of ChatGPT represents a major milestone in the field of artificial intelligence and natural language processing.
• For us and many executives we’ve spoken to recently, entering one prompt into ChatGPT, developed by OpenAI, was all it took to see the power of generative AI.
• Many of these focus on immersive, 3D environments and experiences that can be explored through virtual and augmented reality (VR/AR).
• The power of this technology means every enroled student needs to have equal and fair access to it.
• However, non-discrimination provisions may still apply more broadly to the pre-trained model itself to mitigate bias at its data source.

A large language model is a type of neural network, or it’s a flavour of AI model, that’s been trained on large quantities of unlabelled text. Most concerning is that ChatGPT removes itself from all responsibility due to the non-human aspect of the model. It may not have a consciousness, but nobody can escape the fact humans developed the bot. As such, it’s logical to conclude that users and especially developers of generative AI should uphold ethical standards. ChatGPT is like the awkward assistant investigator who moonlights as the DC superhero, The Flash (aka Barry).

A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

ChatGPT – breaking the digital divide

In recent years, Generative AI has emerged as a game-changing technology that is driving innovations and advancements in various fields. While Google and Microsoft are the biggest players in this field, other companies are also investing in the development of generative AI technology. This includes large companies like Salesforce Inc, as well as smaller startups like Adept AI Labs.

If employees have unrestricted use of ChatGPT, it can lead to businesses no longer being in full control of their own and their customers’ (often sensitive) data. If employees are copying data and sending it to ChatGPT, or other public LLMs, you can no longer control what happens to it. Any AI is only as useful as the data it has been trained on, alongside a few other factors. Whilst this is perhaps less relevant in formal business use cases, where you’re unlikely to be using a public model like ChatGPT, this limitation should not to be overlooked when considering how your employees might be using ChatGPT to enhance their day-to-day work. This could lead to instances of introducing bad code, basing research or content on outdated information and even internalising bias or misinformation. Further, where generative AI products are integrated into a chain of tools provided by a number of suppliers, there will be multiple applicable contractual terms.

It uses a large language model to generate human-like responses, completing a variety of language tasks from solving code to writing essays and poems, and impressed many in the tech world, including Microsoft who invested $10 billion into the tool. But ChatGPT can genrative ai produce much of what we ask undergraduate students to generate in order to assess their abilities. It can match quality in listing facts, detailing procedures, and preparing presentations. There are no reliable countermeasures for catching ChatGPT-generated text.

There are specific requirements under data protection laws where automated processing is involved, particularly where processing of any personal data is used to evaluate an individual without human involvement. Automated processing has been identified as “high-risk” under data protection laws. Any business using a system that automatically evaluates an individual, for example candidates or applicants, should be mindful of the additional requirements that come with high-risk processing such as Data Privacy Impact Assessments (DPIAs). It utilizes the Generative Pre-trained Transformer (GPT) architecture to enable human-like conversational interactions.

And this new lawsuit alleges privacy and copyright violations, defending anyone who ever published anything online without giving OpenAI the right to profit from their digital labour. Additionally, there are specific privacy, security and compliance considerations that distinguish Azure OpenAI Service from alternatives. The most crucial difference is that Azure OpenAI prompts and completions are never retained for future training of OpenAI models.