{"id":334,"date":"2023-11-14T15:41:47","date_gmt":"2023-11-14T15:41:47","guid":{"rendered":"https:\/\/wers.org\/wecb\/milkcrate\/2023-11-14-artificial-intelligence-is-destroying-everything-including-music\/"},"modified":"2023-11-14T15:41:47","modified_gmt":"2023-11-14T15:41:47","slug":"2023-11-14-artificial-intelligence-is-destroying-everything-including-music","status":"publish","type":"post","link":"https:\/\/orgs.emerson.edu\/wecb\/milkcrate\/2023-11-14-artificial-intelligence-is-destroying-everything-including-music\/","title":{"rendered":"Artificial Intelligence is destroying everything, including music"},"content":{"rendered":"
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Graphic By Julia Norkus<\/p>\n<\/div>\n<\/figcaption><\/figure>\n<\/p><\/div>\n

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By Stephanie Weber<\/h1>\n

Artificial Intelligence (AI) is all anyone can talk about lately. It has infiltrated discussions in technology, philosophy, and academia, institutionally but also in the classroom. AI is everywhere; in film, broadcasting, and even in the music we listen to. Opinions on this new technology are often at opposite ends of the spectrum, but pushback against new technology is normal. Misconceptions abound, AI is heading your way soon.<\/p>\n

A lot of AI discourse comes from misinformation, especially because the technology is constantly changing. There are a plethora of different free AI platforms, with ChatGPT and Midjourney being two of the most well known. In the case of ChatGPT, humans input information (data) that helps the machine learn. For example, a user types, \u201cWrite me an email to a colleague saying I can\u2019t come into work because I\u2019m sick.\u201d ChatGPT will give you a response based on the past inputs of this very question; it uses data it already has in its system to help you, after which it will catalog your interaction to help the next person. AI is based on algorithms; the machine learns via a human-made algorithm that will spew out information aligned with what it already knows but continues building its database. It\u2019s self-sustaining. But if a machine learns from an inaccurate algorithm, it will generate incorrect or even offensive responses. <\/p>\n

AI is complicated and institutions and industries are trying to keep up. Even Emerson College issued an AI statement<\/span><\/a> about using this technology in the classroom. The college concludes, like most institutions, that AI \u201chas challenged and will challenge virtually all industries, organizations, societies, and governments to react and adapt.\u201d AI is everywhere and has been around for a while, infiltrating and possibly threatening all parts of life including music production.<\/p>\n

In terms of the music industry, AI can produce many different outcomes. For a good laugh, look up Frank Sinatra singing Radiohead\u2019s \u201cCreep\u201d<\/span><\/a>, Plankton singing Adele\u2019s \u201cRolling in The Deep,\u201d <\/span><\/a>or Toad singing Sia\u2019s \u201cChandelier.\u201d<\/span><\/a> These funny videos are made possible because of AI, giving YouTube and TikTok users something to send our friends. AI can also recreate the voice of iconic singers and musicians<\/span><\/a>, an interesting tool for recreating the sound of legendary artists, especially for those who have died. Even The Beatles released what they\u2019re calling their \u201cFinal Song\u201d on Nov. 2, using AI to help in the process. It\u2019s aptly titled \u201cNow and Then<\/span><\/a>,\u201d using AI to finish one of John Lennon\u2019s songs only available on a 1977 tape recording. The remaining Beatles members\u2014Paul McCartney and Ringo Starr\u2014tried to do this years ago, but ran into a problem; Lennon\u2019s voice couldn\u2019t be isolated from the piano, but with the help of AI, they were able to find a solution. Source separation, separating lines of sound from others, is new and is especially useful for situations like this. In a short documentary<\/span><\/a> video about the making of the song, Sean Ono Lennon (the son of Lennon and Yoko Ono) says, \u201cThis is the last song that my dad [John Lennon], and Paul [McCartney], and George [Harrison], and Ringo [Starr] will get to make together.\u201d This is a fallacy; McCartney and Starr made the song together, not Lennon and Harrison. \u201cNow and Then\u201d was made to remember simpler times, to reflect on nostalgia. The Beatles were at their peak in the 1960s and 1970s, but still maintain their status as one of the most popular bands in the world. But there is still a sense of wanting to return to when music production was simpler; artists could write songs and go into a music recording studio, reserved for those who had access and status. To go to Abbey Road is a destination for all Beatles fans, but with the access to AI, music production can happen anywhere in the world, from teenage bedrooms to the workplace. The industry is changing rapidly, and artists and their estates are adapting to preserve themselves.<\/p>\n

Before this song, though, AI had been used by glitchcore and hyperpop artists for years, who\u2019ve used the tools they already had to enhance the creative process. There are a load of different websites where musicians can make music based on pre-generated AI beats. On some of these sites<\/span><\/a>, the user has control over other audio inputs like BPM and frequencies. This lets users, especially those who don\u2019t have access to mixing boards or studios, get to make their own music, giving them the opportunity to earn money and make a career for their talent. These often free websites increase accessibility to the music industry which has been historically exclusive, granting opportunities for those who can\u2019t afford it. AI can break down financial barriers. It can produce music incredibly quickly, streamlining the music production process to just the musician and the machine. Since the process is expedited, money can be put in the pockets of small-time musicians a lot faster. That\u2019s especially the case for young people. \u201cTwo thirds (63%) of young creatives say they are embracing Artificial Intelligence (AI) to assist in the creative processes in music making<\/span><\/a>,\u201d only increasing the chance for more music to be made and streamed. <\/p>\n

Clearly, AI has its benefits. It increases accessibility and people are actually using it whether they are the producer or the listener. But a quick laugh or monetary gain isn\u2019t worth the possible long term consequences of AI generated music.<\/p>\n

Most of these consequences originate from the debate between appropriation and plagiarism. Appropriation comes from the post-modern application where artists\u2014musicians but also photographers, filmmakers, painters, etc.\u2014take a piece of work from someone else, reworking it to be theirs. Think of musicians\u2019 ability to sample songs, often giving credit where credit is due. Vanilla Ice\u2019s 1990 debut single \u201cIce Ice Baby\u201d is a well known example of appropriation. He sampled Queen\u2019s \u201cUnder Pressure,\u201d but changed the bass lines by a couple notes, claiming that, because of this change, the song was entirely different. Queen\u2019s lawyers came in and threatened Vanilla Ice for copyright infringement but never went to trial, watching as his song climbed on the Top 100 charts over the world. Vanilla Ice also appropriated Black culture, mixing songs to fit his new found \u201cvibe.\u201d Appropriation continues to face criticism; artists are having the same conversations they had decades ago about the extent of stealing and ownership in any creative industry. The same phenomenon is happening with AI-generated music. Sometimes AI will spit out lyrics that already exist, telling the user that they\u2019re \u201cgood-to-go\u201d and can use this content without fear of being sued.<\/p>\n

The bigger conversation around AI is about what is considered \u201coriginal content.\u201d If an artist uses an AI generator to write a whole song or even a lyric, is that content owned by the musician\u2014implying it\u2019s an original work\u2014or does the ownership lie with the AI program? Chorus, a song-writing platform that aims to help creatives write more fluently, and ChatGPT<\/span><\/a> are examples of how this phenomenon is happening. One young artist said<\/span><\/a> that \u201cYou can type in a lyric or a phrase and it\u2019ll essentially give you anywhere between seven and 10 alternative lyric ideas based off the ones that you’ve put in.\u201d Neil Tennant<\/span><\/a> of The Pet Shop Boys endorses this idea, saying that AI can be useful to finish a song written 10 years ago or to combat writer\u2019s block. As harmless or fun as this may sound, using these programs has major consequences.<\/p>\n

\u201cMusic publishers Universal Music, ABKCO and Concord Publishing <\/em>sued the artificial intelligence company Anthropic<\/em><\/span><\/a>.\u201d<\/em><\/p>\n

\u201cThe Universal Music Group has been <\/em>fighting to get AI-generated songs<\/em><\/span><\/a> taken down from streaming sites.\u201d <\/em><\/p>\n

\u201c<\/em>A proposed class action<\/em><\/span><\/a> was filed against Microsoft, Github and OpenAI claiming the billions of lines of computer code that their AI technology analyzes to generate its own code constitutes piracy.\u201d<\/em><\/p>\n

The text above are just some of the headlining lawsuits built on the connection between AI and the music industry, advocating for artist rights against plagiarism. AI technology sometimes uses lyrics that already exist by recognizable artists and provides it to new artists as original content. Since there is a poor legal framework for AI, some musicians took to writing an Open Letter to U.S. Congress<\/span><\/a>, signed by 191 artists. In the letter, Bj\u00f6rk says, \u201cWe write this letter today as professional artists using generative AI tools to help us put soul in our work.\u201d An artist like Bj\u00f6rk will always be  known as a creative mind, no doubt, but AI hinders the creative process, giving artists the ability to discredit the hard work that musicians have been putting into their craft forever. <\/p>\n

Despite the added benefits, using AI is shameful. It creates a breeding ground for limiting artist autonomy and removes all legitimacy. The idea that anyone can be an artist is now broadened to the idea that \u201cany machine can be an artist.\u201d Pushback to technology is justified because rights to privacy and protection are essential to humanity. Accountability needs to be placed on technology companies and their advancements made for profit. Users need a seat at the table just as much as musicians do. As Emerson students, many of us want to create, whether it\u2019s in journalism, filmmaking, or performance art. Without consideration for our own ownership in this creative process, our education and future will lose all its meaning. <\/em><\/strong><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Misconceptions abound, AI is heading your way soon.<\/p>\n","protected":false},"author":1,"featured_media":335,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-334","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"\nArtificial Intelligence is destroying everything, including music - wecb<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, 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