内容来源：https://www.theverge.com/entertainment/830393/ai-music-deezer-survey-spotify

内容总结：

近期，流媒体平台Deezer与调研机构益普索联合进行了一项实验，结果显示97%的听众难以准确分辨完全由AI生成的音乐与人类创作的音乐。这一发现引发广泛关注，但实际情况比数据本身更为复杂。

实验要求9000名参与者聆听三首曲目并判断其中完全由AI生成的作品。若未能全部识别正确，则被归为"判断失败"。然而，若按单曲判断准确率计算，参与者对单曲的识别正确率可达43%。值得注意的是，部分参与者因某首AI作品质量过于粗糙，反而误认为是人类设置的"陷阱"而将其判为真人创作。

调查显示，71%的参与者对自身判断失误感到惊讶，51%因无法区分AI与人类创作感到不安。在影响评估方面，51%受访者认为AI将催生更多"低质流水线式音乐"，但仅40%表示会主动跳过标明的AI音乐。值得注意的是，80%的受访者强烈要求对AI生成音乐进行明确标识。

目前各平台应对策略各异：Deezer已建立自动检测系统，可识别主流AI模型生成的内容并加以标注，同时将其排除在算法推荐之外；Spotify则采取信用标注体系，主张"不应简单将歌曲二元分类"，而是依靠创作者主动披露AI使用情况。

数据显示，Deezer平台每日新增AI生成曲目超过5万首，占总上新量的34%。但研究总监曼努埃尔·穆萨拉姆透露，这些内容仅占平台总流量的0.5%，且绝大多数属于欺诈性内容。他强调："这不仅是技术问题，更是透明度与伦理问题"，需要创作者、发行服务商和流媒体平台共同承担责任。

音乐人霍莉·赫恩登指出，尽管AI能轻易制造精致媚俗的作品，但"艺术实践远比技术复制更为复杂"。调查中70%的受访者担忧AI威胁音乐人生计，64%认为将削弱创作力。但穆萨拉姆持乐观态度："人类不会脱离创作过程，AI终将融入创作链条成为工具。"

（根据《边缘》网站报道整理）

中文翻译：

流媒体平台Deezer近日联合调研机构益普索进行了一项实验，结果显示97%的人无法完全区分AI生成音乐与人类创作音乐，这一发现令人警觉。但事实远不止如此。

虽然九成七受众难以识别AI音乐，但情况并未如此严峻
民众渴求知情权。
民众渴求知情权。

这项调查邀请9000名参与者聆听三首曲目，要求他们判断哪些作品完全由AI生成。若参与者未能全部答对，则被归为判断失败群体。这意味着即便答对两题，在Deezer和益普索的评判标准中仍被视为无法准确辨识AI音乐。

笔者获得了研究使用的三首曲目后，自行开展了规模较小且非严格科学的验证实验。十位受试者在聆听相同曲目后，仅一人实现全部正确识别。但若采用非捆绑式统计，结果则乐观许多——受试者对单曲创作主体的判断准确率达到了43%。

值得玩味的是，多位受试者反映其中某首作品质量拙劣至明显像AI产物，反而令他们怀疑是陷阱而猜测为人类创作。

Deezer研究中71%的参与者对自身判断失误表示惊讶，51%坦言无法区分AI与人类艺术令其不安。关于AI影响的看法呈现分歧：51%认为将催生"更多低质流水线音乐"，令人意外的是，仅40%表示会在识别AI音乐后主动跳过。

在透明度需求上则达成高度共识——八成受访者要求明确标注AI生成音乐。Deezer已创建自动检测系统，可识别来自Suno、Udio等主流平台的纯AI内容并打上标签，同时将这类作品排除在算法推荐之外。

Spotify虽宣布整治平台AI垃圾内容，却回避直接标注策略，转而建立反AI冒充机制与垃圾过滤系统。该平台正推动标准化署名体系，主张"行业需要精细化的AI透明度方案，而非简单二元分类"。不过该体系几乎完全依赖厂牌和艺术家自主申报AI使用情况。

Deezer研究总监曼努埃尔·穆萨拉姆指出，混合型内容存在灰色地带，但这本质是"透明度与伦理议题"，需要创作者、音乐分发服务商与流媒体平台共同践行责任。

目前AI音乐上传量正以惊人速度增长，Deezer每日接收超5万首AI生成曲目，占新增曲库的34%以上。穆萨拉姆透露，尽管AI内容数量庞大，但其播放量仅占0.5%，其中绝大多数属欺诈性流量。他认为虽然处理量带来挑战，但并未根本改变用户体验："人类仍在持续创作音乐，听众也始终青睐真实艺术家的作品。"

广泛运用AI模型的音乐人霍莉·赫恩登对此认同："即便人人都能制造精致媚俗之作，不代表这些作品会获得共鸣。艺术实践远比这复杂。"调查中七成受访者认为纯AI歌曲威胁音乐人生计，64%担忧AI将削弱创造力。但穆萨拉姆持乐观态度："未来并非排除人类创作，而是AI将融入创作流程。"

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英文来源：

Streaming service Deezer ran an experiment recently, with the help of research firm Ipsos. The finding — that 97 percent of people can’t tell the difference between fully AI-generated and human-made music — was alarming. But it’s also not the whole story.
97 percent of people struggle to identify AI music, but it’s not as bad as it seems
The people demand transparency.
The people demand transparency.
In the survey, 9,000 participants listened to three tracks and were asked to guess which, if any, were completely AI-generated. If the participant failed to guess all three correctly, they were put in the fail pile. That means if you got two of three correct, Deezer and Ipsos still said you couldn’t tell the difference between fully AI-generated music and the real deal.
Deezer sent me the three tracks it used in the study, and so I decided to run my own (less scientific) experiment. I had 10 people listen to the same tracks and gave them the same prompt. People did have trouble identifying which songs were fully AI. Only one person got all three right. But if I didn’t bundle the responses, the results were much less dire. People were able to successfully identify whether a track was AI or human-generated 43 percent of the time.
It’s also worth noting that several people told me one of the songs was so terrible, so obviously AI, that they thought it had to be a trap and guessed it was real.
Unsurprisingly, participants in Deezer’s study were a little caught off guard by how poorly they performed. Seventy-one percent were surprised by the results, and 51 percent said it made them uncomfortable to not be able to tell the difference between AI- and human-created art.
Opinions on the impact were split, with 51 percent believing that AI will lead to the creation of “more low-quality, generic sounding” music. Somewhat shockingly, only 40 percent said they would skip AI music without listening if they knowingly came across it.
One area where most agreed, however, was in the need for transparency. Eighty percent want AI-generated music to be clearly labeled. Right now, that has been Deezer’s approach. It has created a system that can automatically detect and label 100 percent AI-generated content from the most popular models like Suno and Udio. Deezer also excludes music that has been labeled as AI from its algorithmic recommendations.
Spotify recently announced steps to combat AI slop on its platform, but stopped shy of saying it would explicitly label AI content. It announced policies regarding AI impersonation and a new spam filter that should keep many of the worst actors off its platform. But instead of blanket labeling, it’s working toward a standardized credits system, saying, “The industry needs a nuanced approach to AI transparency, not to be forced to classify every song as either ‘is AI’ or ‘not AI.’” That system, however, would rely almost entirely on labels and artists honestly disclosing when songs use AI, even if it’s simply to help in the mixing process.
Manuel Moussallam, director of research at Deezer, tells The Verge that there is a bit of a gray area around hybrid content that might use AI elements. But he says this is “not a technical problem. It’s a transparency issue and it’s an ethical issue” that will require all parties involved, from the creators to the music distribution services like DistroKid to the streaming platforms, to act responsibly.
What is clear is that the amount of AI-generated music being uploaded is staggering, and only increasing. Deezer says that it receives over 50,000 AI-generated tracks per day, which accounts for more than 34 percent of music added to the service.
Moussallam says that, while the company is receiving a dizzying amount of AI content, it only accounts for 0.5 percent of streams, and the vast majority of that tiny sliver is fraudulent. While he admits that it does pose some challenges for Deezer simply due to the volume, he doesn’t believe it drastically changes the experience for users. “Humans continue to create music, and they will continue to listen to the music made by real artists,” he says.
Holly Herndon, who has used custom AI models extensively in her own music, agrees, telling The Verge that, “just because anyone can create polished kitsch things doesn’t mean anyone will care about those songs. An art practice is much more sophisticated than that.”
Seventy percent of respondents to the survey believe that these fully AI songs pose a threat to the livelihood of musicians, and 64 percent believe that AI could lead to a reduction in creativity. But Moussallam is less pessimistic, saying, “We’re not headed towards a future where humans are removed from the creative process, just the AI is going to be integrated into the creative processes.”
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