Exploring the Copyright and Ethical Dimensions of Generative AI

Generative AI stands as a powerful subset of Artificial Intelligence. Large Language Models are a form of generative AI as they have the capability to generate human-like text based on the input received. They are deep learning models, which consume and train on massive datasets to excel in language processing tasks. Large Language Models can enhance the conversational abilities of bots and assistants providing context and memory capabilities, creating more human like responses through combinations of text that can mimic natural language based on its training data.

Ethical concerns surrounding generative AI are worrying, from misinformation fuelled by deepfakes to biased datasets: The societal implications are vast. Businesses must take responsibility to combat false information, mitigate biases, uphold intellectual property rights, and safeguard privacy.

Exploiting the rise in generative AI in the past few years is essential for all businesses especially those in the legal industry. Lawyers are increasingly leveraging generative AI for diverse workplace responsibilities. These include fact-finding and research, where generative AI efficiency navigates extensive databases of regulations to identify pertinent laws and rulings. Less time need now be devoted to routine tasks, affording lawyers more time to engage with clients,

Legal professionals can leverage Large Language Models for a variety of tasks, particularly in dealing with lengthy documents, as generative AI can summarize them, extract key information, and highlighting potential issues

However, there are risks. Including a case where lawyers have been sanctioned in the US. In one case, a lawyer had submitted a legal brief written by ChatGPT which included citations of non-existent court opinions and fake quotes.

Legal departments must understand generative AI ethics and copyright to comply with laws, safeguarding clients, manage risks, uphold professional standards and to encourage innovation. Ethical considerations include privacy, bias and accountability issues associated with generative AI use. So, understanding copyright laws is crucial to ensure compliance when using AI generated content or assisting clients with intellectual property concerns.

 

Ethical implications of generative AI for businesses worldwide:

The UK Copyright Designs and Patents Act 1988 law primarily focuses on human authorship and hasn’t been updated to address the emergence of AI generated content. This means that there is a lack of guidelines for situations where individuals use AI to create content without direct human input. Additionally, there is a gap in legislation concerning the spread of miscommunication and deepfakes, which is generated by AI and can distort reality, affecting trust and business reputations. As technology advances, it’s crucial to monitor any new laws that may arise to manage ownership disputes and infringements. Currently, the UK law indirectly tackles this issue by allowing takedown requests for content that violates copyright.

Generative AI develops and mirrors the information that it is fed and can result in legal repercussions and brand damage, through bias and discrimination. Businesses need to prioritise diversity in their training datasets through bias checks and external audits. The European Union takes a proactive stance with its proposed ‘AI Act’ emphasising transparency in AI training models to mitigate risks especially those related to copyright.  The ‘AI Act’ will address this through factors including categorising AI systems based on risk levels and imposing strict requirements on high-risk systems, including bias assessment and mitigation, as well as requiring data and transparency in AI development, ensuring representative and bias-free training data. However, this gives rise to implications for compliance, risk mitigation, and legal representation to promote responsible AI development and use as generative AI must ensure compliance with the regulations outlined in the ‘AI Act’ to mitigate risks associated with its use. Addressing bias and discrimination aligns with legal principles of fairness and human rights making it a key focus to adhere to.

Copyright and intellectual property infringements can result in costly legal battles and reputational damage. So, training content needs to be fairly obtained or licenced and transparently outlined and produced. Metadata can trace back origins for transparent accountability. AI models and systems are now able to analyse data and recognise patterns in correlations as well as relationships between different variables. These advancements help AI to uncover insights, to make predictions and perform tasks with greater accuracy. Using these patterns to create rules or predictions in response to prompts could potentially expose them to legal liabilities. Generative AI isn’t entirely reliable as it can produce inaccurate and low-quality content resulting in misinformation, raising legal and regulatory issues resulting in unintended consequences, causing harmed reputations by creating misleading content and becoming untrustworthy. This increases the risk inadvertently exposing yourself to legal action. Worse still, information that you share may end up being used as training data, leading the LLM to share confidential information with third parties.

China has also had its first generated output copyright infringement case where a Shanghai-based agency – exclusive licensee of the Ultraman series – claimed its rights to the Ultraman works were infringed by the defendant’s text-to-image AI service, with identical and very similar images to the works being generated with prompts related to ‘Ultraman.’ Where the court took the view of the defendant who failed to adhere to article 4, 12 and 15 of the new Generative AI legislation. It is interesting that China, a country lambasted for its attitude towards intellectual property rights, seems to have a renewed commitment to protecting them in this rapidly evolving landscape.

One of the most recent examples of confidential information being used by third parties, is DocuSign quietly updating its terms and condition to state that it will use your data to train its own AI models. Claiming that they will anonymise the data, however, this is unsuitable for confidential data especially without asking for your consent. Nigel Cannings, CEO of Intelligent Voice recently did a video on this subject, Watch here

The global landscape of copyright laws varies widely,  with different jurisdictions taking different stances on the ownership of generated content, with the US and EU on one side, and China currently on the other. And it has yet to be settled how far the idea of “fair use” can be stretched to allow for data scraped from the web to be used as training data, especially as it is a doctrine confined to the US at the moment.

 

How you can benefit from GenAI with IV:

Intelligent Voice combines innovative generative AI methods with highly constrained rules to ensure predictability, which is vital for interactions. Intelligent Voice trusted and used in many different industries including legal, insurance, banking and more. Which can also help to identify, process, search, discover, review, categorise and redact, quickly and easily without the data leaving your secure environment.

Intelligent Voice can cater for each sector with different features for them. For example, offering considerable advantages for eDiscovery including.

  • Precise Transcription, of audio and voice recordings, minimising manual efforts and the potential for mistakes.
  • Multilingual Conversations, support from Intelligent Voice is accurate in transcribing and recognising 30+ languages, making communication much more convenient.
  • Time-Saving Automation, being able to streamline transcriptions through document analysis and data entry to reduce paperwork and workloads.
  • Secure Data Handling, employing robust security measures to safeguard sensitive client information and maintain confidentiality.

Intelligent Voice also offers summarisation and translation as well as a host of other GenAI-powered features. Its upcoming “task-block” engine will allow multiple LLM tasks to be performed in series or in parallel on the same data, also powering ad-hoc data queries Intelligent Voice always prioritises privacy and security for businesses by providing cloud-levels of service and accuracy which can be deployed direct into a customer’s environment.

Find out more information on legal services with Intelligent Voice – Click here

 

 

 

 

 

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