stayc main image

Top 10 Mixing Mistakes and How to Avoid Them

October 18, 2024

Mixing is an art form that requires not only technical skill but also a keen ear and attention to detail. Many producers and engineers fall into common traps...

Read more
stayc main image

Choosing the Best CPU for Music Production

October 18, 2024

When upgrading your CPU for music production, whether you're composing orchestral scores, producing electronic music, or working with intricate multi-track projects, selecting the right processor...

Read more
stayc main image

How to Create Epic Risers and Transition Effects for Electronic Music

October 11, 2024

Creating epic risers and transition effects is essential for electronic music producers to build tension and anticipation before a drop or shift in their tracks. Here’s how you can do it...

Read more
stayc main image

Automating a Drum Bus in Reaper to Create Dynamic Room Effects

October 6, 2024

Read more
stayc main image

EQ in Practice: How to Use Subtractive EQ to Clean Up Muddy Mixes

October 6, 2024

ixing music is an art, and one of the most essential tools for achieving clarity in a mix is the equalizer (EQ). One technique, in particular, known as subtractive EQ, can work wonders for cleaning...

Read more
stayc main image

How to Manage Static Noise in High Frequencies When Compressing Vocals

October 6, 2024

One common frustration in vocal production, especially for home studio and bedroom producers, is encountering static noise in the high frequencies after compressing and brightening vocals...

Read more
stayc main image

Sampling Like a Pro: How to Flip Samples and Avoid Legal Issues

October 6, 2024

Sampling has been a cornerstone of modern music production, allowing producers to reimagine and breathe new life into old tracks. Whether you're producing hip-hop, EDM, or any genre, knowing how to...

Read more
stayc main image

What Makes an EQ or Compressor VST High-Quality: Insights and Examples from Pros

October 6, 2024

When selecting EQ and compressor plugins, musicians and producers look for more than just a shiny interface or brand recognition. It's all about how these tools perform in real-world scenarios...

Read more
stayc main image

Sound Design 101: Crafting Killer Drum Sounds Using Synthesizers

October 6, 2024

Drum sounds form the backbone of many music genres, and while sample packs are popular, designing your own drum sounds from scratch can elevate your production to a whole new level. Crafting custom...

Read more
stayc main image

Mastering Multiband Compression Sidechaining: A Solution to Clashing Frequencies

October 6, 2024

In modern music production, one of the most common challenges is the clash of frequencies between instruments. For example, bass guitars and drum kits often compete for space in the lower end of...

Read more
stayc main image

Studio One Workflow Tips for Faster Music Production

October 1, 2024

Studio One by PreSonus is an incredibly powerful DAW (Digital Audio Workstation) that offers a variety of tools to streamline your music production workflow. However, like many DAWs, getting the...

Read more
stayc main image

Solving the Issue of Buried Crash Cymbals in the Mix

October 1, 2024

Crash cymbals often get buried in the mix, especially when using complex miking techniques like Glyn Johns, which balances close mics with overheads. While re-recording with higher cymbals may be a...

Read more

Facing the Music: Legal Challenges With AI and Copyright Laws

stayc main image

Photo Source: Linkedin.com

People draw inspiration from others when forming their ideas, it’s a fact of life. Sampling in music is no exception - and artists do it for a variety of reasons. Traditionally, copyright laws and industry agreements acted as guiding principles toward how we define intellectual property, and how laws were upheld when using others’ work to inspire your own.

As with everything these days, AI is shaking that up. This is especially true in the music industry, with revolutionary programs now on the market that have previously unimaginable capabilities. Numerous AI music generators are now available to create versatile music based on a set of parameters.

AI is causing trouble in the legal space of the music industry, and on multiple sides of it too. While it is amazing that a machine can now compose convincing, human-like art, it begs the question: where does the machine draw its inspiration?

How Does AI Make Music?

AI music generators use deep learning to recognize patterns within the compositions that are in their databases. These databases are huge, and the issue lies with the fact that they often include work from artists that did not provide their consent for it to be used. Frequently there are enough coherent traces of original pieces within AI music that can violate reproduction rights.

Much like releasing music with samples, you may need clearance one day to release music that used AI in its composition. If you can’t get that clearance, then it is likely AI will be able to detect that too.

Using Google’s Assistant to Recognize Samples

As AI gets more advanced, it has grown capable of detecting hidden samples in songs - even ones that have been chopped up, stretched, or are less than one second long. Decades after its release, sample-hunting communities on the internet were able to discover a hidden sample in Daft Punk’s “Face to Face” after using Google Assistant. They also discovered a ton of other hidden samples that have been a mystery for decades.

Google’s deep neural networks provide a more advanced recognition software than something like Shazam. If you use it in conjunction with other tools, you can coerce it to find a sample that it may have missed, which is something you may not have to do after the technology gets stronger. Only time will tell how strong copyright detection will get, maybe one day you won’t be able to hide a sample from AI.

Copyright Concerns and Legal Challenges

AI is presenting some challenges on all sides of the music industry, and those challenges boil down to the concept of ownership.

AI art lacks human authorship, so protecting it under copyright law will definitely prove challenging

Who is responsible for the work an AI produces; the company that created the system, the AI itself, or the owner of the works that informed the AI? Would a musician be able to fight a company that trained an AI to produce based on their work? It’s an interesting question, one that we are yet to find the answer to.

Where Are We Headed?

As it stands right now, AI producers seem to be able to disregard copyright laws in creating their work. On the other hand, AI is making it easier than ever to find out if a piece draws from existing work. This could have detrimental effects on smaller artists that do not have the rights to be “playing around” with certain sounds.

Computer-generated “art” is a contentious topic. Many artists are embracing it as a new tool in the creative process, while others fear that it will displace musicians from their jobs. Regardless, AI is already used extensively in music, oftentimes to boost the productivity of seasoned songwriters and producers. 

AI can be a tool for artists, but communities on Reddit are worried that AI sample detection may one day be able to automatically flag their work (correctly or incorrectly), and this could lead to legal issues. The implications of that remain to be seen.

The commercialization of art has always been a debate between those who are passionate about creative expression versus those who are in it for profit. This time, large AI corporations are the ones who seem to be disregarding copyright laws, which traditionally is what they would have enforced.

The music industry is known to experience mass hysteria whenever a new innovation shakes up the scene. While this could be a new innovation the industry will one day embrace, in this case, it seems that a legal nightmare is imminent. Only time will tell as to how it all plays out.