Edmonds Judd

technology

Avoiding scams

Tips to protect yourself

Every year thousands of people fall victim to scams through emails, phone calls and text messages. Scams are fraudulent schemes designed to deceive you and steal your money or personal information.

 

The danger of scams lies in their ability to look and sound genuine – at least until it’s too late. Scammers are becoming more cunning, often using technology and psychological manipulation to trick you. Fortunately, there are a few easy steps that can help you.

 

 

Phone scams

Scammers often try calling and pretending to be from your bank. They usually create a sense of urgency, claiming there are issues with your bank account such as unusual account activity or overdue fees; scammers will make you think that the matter needs immediate attention.

 

To spot a phone scam, be wary of unexpected calls that ask for personal information such as your account details or your passwords. Most organisations do not request sensitive information over the phone. An easy way to verify if the call is genuine is to hang up and call back using the official number.

 

 

Text message scams

Text scams are when you receive messages designed to trick you into providing personal information or clicking on malicious links. These messages might say they’re from your bank, a courier company or even your insurer. They often contain urgent requests to verify your account, claim a prize or resolve a problem.

 

To protect yourself from text scams, never click links or respond to messages from unknown numbers. If you receive a message claiming to be from an organisation, call them directly and check.

 

 

Email scams

Email scams, or ‘phishing’ emails, are a common way scammers try to steal personal information. These emails, similar to texts, appear to be from your bank, a courier or even a shop. Like many scams, they are often ‘urgent’ and ask you to update your account information, reset your password or review suspicious activity.

 

Don’t click on links or download attachments from unknown or suspicious emails, especially if you’ve never heard from them before. Organisations will never ask (or should not ask) for sensitive information by email.

 

 

Key points

We are exposed to scams more and more in today’s world. To keep yourself safe:

  • Be suspicious – who is contacting you and why?
  • Don’t trust any unexpected contact
  • Resist the urge to act immediately, despite what the message says
  • Never open attachments or links if you’re not sure where they’ve come from, and
  • Trust your instinct! If something doesn’t feel right, it probably isn’t.

 

Staying vigilant and informed is crucial in protecting yourself from scams.

If you think you’ve received a text or email that you think is a scam, you can report it to the Department of Internal Affairs, following the instructions on its website (www.dia.govt.nz).

 

 

DISCLAIMER: All the information published in Fineprint is true and accurate to the best of the authors’ knowledge. It should not be a substitute for legal advice. No liability is assumed by the authors or publisher for losses suffered by any person or organisation relying directly or indirectly on this newsletter. Views expressed are those of individual authors, and do not necessarily reflect the view of Edmonds Judd. Articles appearing in Fineprint may be reproduced with prior approval from the editor and credit given to the source.
Copyright, NZ LAW Limited, 2022.     Editor: Adrienne Olsen.       E-mail: [email protected].       Ph: 029 286 3650


Generative AI and copyright

Are you taking the right precautions?

Many businesses have been using artificial intelligence (AI) for a long time to gather insights into their data and make strategic decisions. Recent generative AI improvements, however, have brought the power of AI into the public’s hands like never before. As a certain spider[1] once said: With great power comes great responsibility.

 

Generative AI technologies can now be used to create almost any type of content you can imagine; everything from a poem about pineapples to music in the style of Mozart and even three-dimensional models of motorbikes. However, the legal and human issues these technologies create are far less inspiring.

 

At its core, generative AI models are trained on large datasets of predominantly human-generated works to generate new works, that are ‘inspired’ from works within the training dataset. This approach raises several important legal questions, including:

  • Are companies allowed to train an AI model on content which they do not own? This is particularly significant considering much of the content is not in the public domain and is, arguably, covered by copyright
  • Once a model has been trained, who owns the content the model produces, and can it be used without infringing the intellectual property (IP) of others, and
  • Can you own and protect the output from an AI model?

 

There are also the ethical and fairness issues of using the creative works of others without compensation.

 

Many of these topics are currently being litigated in courts around the world, and while it would take a lengthy article to cover each issue in detail here, we discuss three key issues below.

 

  1. IP laws vary from country to country
    While there are international agreements on copyright provided under the Berne Convention, there are still significant differences in copyright law in different countries. This is particularly important when it comes to issues such as relying on ‘fair use’ as a defence to copyright infringement.

    Copyright is also only a small piece of the puzzle. Depending on how you use AI, you may need to also consider local and international laws covering moral rights, consumer protection such as the Fair Trading Act 1986 and the tort of passing off, breach of contract, violations of the American statute Digital Millennium Copyright Act 1998 and unfair competition laws – to name just a few.

 

  1. AI-generated content can still infringe the rights of others
    Even if an AI is tasked with creating new content, this does not guarantee that content can be used without infringing the rights of others. Most AI models have been trained on datasets that include works protected by copyright, patents, trademarks and registered designs. Therefore, before being used, the generated outputs should be reviewed to assess potential infringement issues.

 

  1. The use of a generative AI may prevent you from asserting copyright in the generated works
    Most guidance from overseas markets at this stage is that to be copyright-eligible, the creative work requires a human author. Prompting an AI to generate content is unlikely to meet the human authorship standard. The extent to which you can claim copyright on an AI-generated work is likely to be limited to a detailed analysis of exactly what the human inputs were when compared with the computer-generated outputs.

 

What can you do to reduce risk?

Despite these above issues, you can take practical steps to help reduce your risk in using AI-generated content. These include:

  • Searching to determine how different your AI-generated content is from existing, potentially protected works
  • Ensuring that key issues such as privacy and confidentiality are not breached by your use of the AI
  • Fact checking the outputs of the AI
  • Ethical use of the AI, including not using the AI as a tool to copy or mimic the art style of another person or company, and
  • Keeping detailed records of what the generative AI was used for, including details of prompts, intermediate outputs, manual edits and so on.

 

Since generative AI technologies can be used in a seemingly endless number of different applications, your risk exposure will depend on exactly what you are using these technologies for and what precautions you can take to reduce your risk.

[1] Spider-Man said this, but it has also been attributed to Winston Churchill.

 

 

DISCLAIMER: All the information published in Fineprint is true and accurate to the best of the authors’ knowledge. It should not be a substitute for legal advice. No liability is assumed by the authors or publisher for losses suffered by any person or organisation relying directly or indirectly on this newsletter. Views expressed are those of individual authors, and do not necessarily reflect the view of Edmonds Judd. Articles appearing in Fineprint may be reproduced with prior approval from the editor and credit given to the source.
Copyright, NZ LAW Limited, 2022.     Editor: Adrienne Olsen.       E-mail: [email protected].       Ph: 029 286 3650


Postscript

Computer virus scams

There can be very few of us who have not been rung with the caller saying they’ve noticed your computer has a virus. They give you directions on where to look on your computer, and then helpfully suggest that you download some software and sign up to a service that is meant to keep your computer safe.

And of course there is no virus, but you’ve lost your money and your computer may have been hacked.

To protect yourself from computer virus scams, the Ministry of Consumer Affairs has some advice:

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