Tag: music technology

  • How Southern Utah University and Risepoint Are Expanding Access to Education in Cedar City

    How Southern Utah University and Risepoint Are Expanding Access to Education in Cedar City

    Southern Utah University (SUU) was literally built by its community. Founded in 1897 as a teacher training school, residents of Cedar City contributed resources and physical labor to erect the first building, driven by a mission to widen access to education for those overlooked by the existing system. The great-grandfathers of SUU’s current president, Mindy Benson, were among those early builders. More than a century later, the institution still defines itself by that deep connection to place.

    “As a regional institution, that’s part of who SUU is and what we do,” Benson said. “We’re the economic driver, we’re the cultural center, and we try to provide access where others wouldn’t have it.”

    Holding to that commitment in the 2020s meant meeting people who could no longer sit in a classroom in Cedar City five days a week. Many of them already hold a degree from the university and want to return to reskill or advance while working full time and raising families. Others live in rural stretches of southern Utah, where the nearest campus is a long drive and the local economy needs credentialed workers it cannot easily import. Serving both groups required SUU to deliver its programs online without diluting them — a challenge for a relatively small regional institution.

    Building Online Capacity Through Partnership

    SUU partnered with Risepoint, an education technology company, to build that capacity. James Sage, the university’s associate provost, described the contribution as less about outsourcing than about clarified self-knowledge. “They really helped us have a vision for what we could be in the online space,” he said. “They’ve helped us with market research, so we know what students are interested in. They’ve helped us align our academic programs to what the industry needs.”

    The university retained ownership of admissions, curriculum, instruction, and financial aid, while Risepoint provided services like outreach, online infrastructure development, and student support.

    Community Impact Over Headline Growth

    Since the partnership began, SUU has enrolled more than 4,600 new online students across nursing, business, communication, cybersecurity, and music. Its online MBA grew from 84 students to more than 1,000, aided by a seven-week course format and a price working adults can manage. Much of that growth has come from students who already live and work in the region.

    Ken Hall, dean of the Dixie L. Leavitt School of Business, framed the stakes locally: the school’s job, he said, is “to raise the overall economic condition of individuals and families that live here in Southern Utah.”

    Meeting Rural Healthcare Needs

    Nowhere is the regional logic clearer than in healthcare. Southern Utah is rural, and its medical system is stretched thin. The university’s nursing programs partner with local hospitals so that online and in-person students alike train in real clinical settings, keeping graduates prepared to practice where shortages are most severe.

    “We’re in a rural area, and there are doctors, but there are very few,” said Taylor Harris, a family nurse practitioner student who earned her bachelor’s degree on campus. “Family nurse practitioners can step in and bridge the gap between people being seen or not seen. Having nurses pursue an advanced degree helps your own community to strengthen their healthcare system.”

    Salvador Rodriguez, another nurse practitioner student, plans to use his Spanish to serve the area’s Hispanic residents directly, so patients do not have to depend on an interpreter.

    The flexibility matters even in fields that look nothing like nursing. Percussionist and music educator Kit Chatham earned a graduate music technology degree through the university’s asynchronous program while keeping a working musician’s schedule. “There were times that I was doing 10 shows a week,” he said. The format gave him room to do both, and he now directs the program he came through, serving as SUU’s Director of Graduate Music Technology.

    What distinguishes Southern Utah University’s story from a standard growth narrative is the absence of a crisis. The university was financially healthy when it began, and its aim was to honor an old promise to its community in a format more of that community could reach. Through its partnership with Risepoint, it has been able to extend the same career-connected, faculty-led education its campus students receive to working adults across the region, in the same fields the area depends on. For a university that was built by Cedar City, continuing to serve Cedar City is the assignment itself, and online learning has become one of the main ways it gets done.

  • How to Identify AI-Generated Music: Key Signs and Industry Implications

    How to Identify AI-Generated Music: Key Signs and Industry Implications

    What if your next favorite song wasn’t created by a human at all? As AI becomes increasingly woven into the music industry, this scenario is already becoming a reality. Many AI-generated tracks are now so polished that listeners struggle to tell them apart from music made by real artists. A survey by Deezer and Ipsos found that only 3% of participants could correctly identify AI-generated songs in a listening test. With AI music rapidly spreading across streaming platforms and attracting its own fan base, the industry is facing a growing challenge: how to clearly identify AI-created content while protecting artists’ rights, royalties, and creative ownership.

    Why AI Music Artists Are Growing Rapidly

    An AI music artist uses AI to develop almost all aspects of their music production, including vocals or compositions. The distinction between music generated with the help of AI and completely AI-generated music is in the amount of creative input humans provide. The emergence of AI music was facilitated by applications such as Suno and Udio, which helped users create entire songs in just a few minutes. These programs decreased both time and money spent on the music creation process. According to Deezer, thousands of AI-generated songs are uploaded per day.

    Key Signs That Can Help Identify AI-Generated Music

    Identifying AI music is becoming more difficult as technology improves. Experts say no single method can confirm whether a song is AI-generated. A combination of several signs can provide a stronger indication.

    1. Check the Artist’s Background

    A real music artist usually includes some history beyond streaming platforms. Artists often have social media accounts, live performances, interviews, collaborations, or other public activities. AI-generated music projects may appear suddenly with large numbers of songs and limited information about the person behind the music. The absence of an online presence does not confirm AI use. New independent artists can also start without a large public profile. This sign becomes more important when combined with other clues.

    2. Look Closely at Music Credits

    Song credits can reveal important details. Human-made music often involves several people, including singers, composers, producers, mixers, and mastering engineers. A large catalogue where the same person is credited for every creative role may require closer attention. AI tools can reduce many production steps into a single generation process. However, independent musicians who create everything themselves can also have similar credit patterns. Credits should be considered alongside other evidence.

    3. Pay Attention to the Style and Sound

    Some music genres make AI detection easier than others. Jazz and folk music often depend on small human details such as timing changes, natural imperfections, and emotional delivery. AI systems can struggle to reproduce these elements. A track that sounds unusually perfect in these genres may deserve additional checking. Genres such as electronic music and pop often use highly polished production styles, making sound-based identification more difficult.

    4. Watch for Unusual Streaming and Chart Activity

    Sudden success can also be a sign of AI. Some AI-generated projects have gained attention through rapid releases and unusual chart movements. Fast growth with limited artist history, few sales, or little audience connection can raise questions about how the music is gaining attention. Chart performance alone does not prove AI involvement. It should be viewed as one part of a wider pattern.

    5. Use AI Detection Tools Carefully

    Streaming platforms are developing tools to identify AI-created music. Services such as Deezer have introduced detection systems that analyze tracks for AI-generated elements. Apple Music has also introduced transparency features that allow information about AI involvement to be shared through labels and distributors. These tools can help listeners and platforms, though experts warn that detection technology is still developing. Changes in audio quality, editing, or human involvement can affect results.

    The Bigger Debate: Rights, Ownership, and Payments

    The growth of AI music has created major questions about copyright and artist payments. Music companies have taken legal action against AI music platforms over the use of copyrighted recordings in training systems. The central issue is whether artists should receive permission and payment when their work helps train AI models. The debate also focuses on ownership. Fully AI-generated works without meaningful human creative input face challenges in receiving copyright protection in some legal systems.

    How AI Music Could Change the Industry

    AI music is likely to become a permanent part of the industry. The main challenge will be creating clear rules around transparency, copyright, and payments. Artists and industry groups are calling for greater control over how their work is used for AI training. Many creators want systems that provide consent, fair compensation, and clear information. For listeners, identifying AI music will require more than simply trusting their ears. Checking artist history, credits, release patterns, and platform information will become important steps.

    Final Thoughts

    AI-generated music is becoming harder to identify as technology improves. There is no single test that can reveal every AI-created song. The most reliable approach is to look at multiple signals, including artist background, credits, release patterns, and detection tools. As AI continues to reshape music creation, transparency will decide how audiences and artists adapt to this new era.

    FAQ’s

    1. How can you identify an AI-generated song?

    AI-generated songs can be identified by checking several signs, such as unusual release patterns, missing artist history, limited credits, unnatural sound patterns, and AI detection tools. No single method can confirm every AI-created track.

    2. Are AI-generated music artists already available on streaming platforms?

    Yes, AI-generated music artists are already present on streaming platforms. Many listeners may not recognize them, as AI tools have improved significantly and can now create songs that closely match human-made productions.

    3. Can AI detection tools accurately identify AI-created songs?

    AI detection tools can help identify AI-created songs, though their results are not always perfect. Audio changes, editing methods, and human involvement can affect detection accuracy, making multiple checks important.

    4. Why is AI music creating controversy in the music industry?

    AI music has created debates around copyright, ownership, and payments. Artists and industry groups are seeking transparency, consent, and fair compensation when their work is used to train artificial intelligence systems.

    5. Will AI replace human musicians in the future?

    AI is changing the way music is created, though human creativity still plays a key role. The future may involve artists using AI as a tool rather than completely replacing traditional music creators.