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Key topics expected for review include strengthening intellectual property enforcement, balancing access and affordability for certain pharmaceuticals, adjusting data exclusivity periods, and pioneering AI regulation with common dataprotection standards and ethical guidelines.
Key takeaways this April include: UK children’s dataprotection focus continues: Businesses may wish to review policies and procedures for dealing with children’s data in light of recent UK ICO fines and guidance, especially to ensure that terms of use are adequately enforced.
ICO targets the data broking industry : On 27 October, the ICO demanded that Experian make sweeping changes to dataprotection practices within its direct marketing business within three months or face further enforcement action. We will continue to report on developments as Experian’s appeal progresses.
Regulators publish AI-related guidance to advise businesses on their existing obligations What happened : As discussed in previous blog posts , the EU AI Act, which has now concluded its passage through the EU “trilogue negotiations”, is expected to have a wide-reaching impact on businesses which use AI systems in, or sell them into, the EU.
As we covered here , last October, the CNIL fined Clearview AI €20 million for various dataprotection violations, including “intrusive and massive” data processing without consent or a valid legitimate interest. 82 (see our May 2021 , August 2021 , and October 2022 blog posts for previous developments).
Learn how to improve legal outcomes as you tackle the challenges of acquiring electronic evidence and understand the disruptive effects of AI and machinelearning on eDiscovery. Predictive Coding: Based on a collection of training data, this approach uses machinelearning algorithms to forecast the relevance of texts.
The White Paper elaborates on the approach to AI set out by the Government in its 2022 AI Governance and Regulation Policy Statement (“Policy Statement” – covered in our blog post here ). This approach stands in contrast to the EU’s proposed AI Act which adopts a general definition of AI (for further details see our blog post here ).
In this blog, we embark on a journey into the extraordinary ways technology empowers government agencies’ legal teams , toward greater efficiency, enhanced collaboration, and unparalleled success. AI and machinelearning can automate mundane legal processes, allowing legal professionals to prioritize strategic and complex matters.
This is a live blog post of a 90-minutes video discussion with Richard Susskind and Mark Cohen about “Digital transformation and the legal function” and “The future of legal technology”. This is a live blog post; I publish as the event finishes. We did not anticipate the coming of the web or machinelearning.
One of the most important developments in this field is the rise of law bots, which are software programs that use natural language processing (NLP) like ChatGPT, machinelearning, and other AI technologies to automate legal tasks and improve efficiency. What are law bots?
While these are necessary to help reduce complacency towards internal dataprotection compliance and ensure organisations actively work to reduce their exposure, it isn’t always easy for companies to align. Data quality is fundamental to this.
In this blog, we will discuss the best eDiscovery training and certification programs of the year 2025 that will enable you to make a wise decision according to your career interests. Why eDiscovery Training and Certification Matter in 2025?
In this blog, we will discuss the best eDiscovery training and certification programs of the year 2024 that will enable you to make a wise decision according to your career interests. Why eDiscovery Training and Certification Matter in 2024?
The General DataProtection Regulation prescribes a time limit to keep certain data us regs require that to be kept for for a different period of time, certain standards regarding customer data, employee data, so they can be quite conflicting. When that happens, the level of dataprotection exponentially recedes.
On 26 October 2023, the Bank of England, Prudential Regulation Authority (“PRA”) and Financial Conduct Authority (“FCA”, collectively the “UK Financial Authorities”) published FS2/23 on Artificial Intelligence and MachineLearning (the “Response Paper”). The cover art used in this blog post was generated by DALL-E.
In this blog, we’ll investigate why legal practices of all sizes are adopting Office 365 for their day-to-day operations. Data Security and Compliance: The legal profession demands the utmost confidentiality and data security. But what exactly are the main benefits that Microsoft Office 365 brings to law firms?
In this blog, we’ll investigate why legal practices of all sizes are adopting Office 365 for their day-to-day operations. Data Security and Compliance: The legal profession demands the utmost confidentiality and data security. But what exactly are the main benefits that Microsoft Office 365 brings to law firms?In
Through machinelearning algorithms, AI can detect patterns and correlations in substantial datasets that may elude human analysis, offering critical insights. This ground-breaking fusion of natural language processing and machinelearning aids firms with contract analysis, due diligence, and regulatory compliance.
Further, in a case that we have covered previously involving a supermarket using video surveillance with facial recognition capabilities, the Spanish dataprotection authority (the “AEDP”) fined grocer Mercadona for violating numerous provisions of the EU’s General DataProtection Regulation.
He’s an expert in AI, machinelearning, and software development. Use platforms like blogs, social media, and even webinars to educate your audience on the importance of sustainable tech. Learn more about Dennis and get contact info at www.denniskennedy.com or www.linkedin.com/in/dennismkennedy.
He’s an expert in AI, machinelearning, and software development. Use platforms like blogs, social media, and even webinars to educate your audience on the importance of sustainable tech. Learn more about Dennis and get contact info at www.denniskennedy.com or www.linkedin.com/in/dennismkennedy.
In particular: in what circumstances, if any, would regulators or courts find that a flawed machinelearning or AI model must be scrapped entirely? To subscribe to the DataBlog, please click here. A hot-off-the-press decision from the U.S. We will continue to update you on further developments in this area.
As companies invest millions of dollars in big data and AI projects, and regulators become increasingly concerned about the risks associated with automated decision-making (e.g., it is important for companies to carefully consider the regulatory risks that are associated with certain data practices.
up to 45 when including the European Economic Area and the 16 German state dataprotection authorities). The Italian DataProtection Authority fined a data controller €20,000 for failing to reply to a DSAR addressed to a business unit that it had recently taken control of.
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