Berliner Boersenzeitung - The music industry is battling AI -- with limited success

EUR -
AED 4.245913
AFN 76.887634
ALL 93.218842
AMD 422.094755
AOA 1060.176801
ARS 1724.882567
AUD 1.638747
AWG 2.082489
AZN 1.97002
BAM 1.955776
BBD 2.321671
BDT 142.688227
BHD 0.434695
BIF 3451.157116
BMD 1.156136
BND 1.477082
BOB 13.69983
BRL 5.876989
BSD 1.152686
BTN 109.688637
BWP 15.558807
BYN 3.432357
BYR 22660.258427
BZD 2.318271
CAD 1.61333
CDF 2615.761404
CHF 0.93588
CLF 0.026829
CLP 1055.916879
CNY 7.801146
CNH 7.796152
COP 3633.55485
CRC 523.993489
CUC 1.156136
CUP 30.637594
CVE 110.26363
CZK 24.258158
DJF 205.267449
DKK 7.477932
DOP 67.289164
DZD 152.967099
EGP 57.380687
ERN 17.342035
ETB 186.049588
FJD 2.553384
FKP 0.857252
GBP 0.858527
GEL 3.017966
GGP 0.857252
GHS 13.526832
GIP 0.857252
GMD 84.980421
GNF 10123.874202
GTQ 8.794891
GYD 241.157003
HKD 9.067746
HNL 30.895616
HRK 7.536622
HTG 150.718127
HUF 363.096405
IDR 20580.370421
ILS 3.468234
IMP 0.857252
INR 110.076256
IQD 1509.981237
IRR 1590322.371805
ISK 142.598215
JEP 0.857252
JMD 183.057725
JOD 0.819746
JPY 182.445186
KES 149.158147
KGS 101.104505
KHR 4681.941823
KMF 492.514185
KRW 1627.677557
KWD 0.356853
KYD 0.960588
KZT 540.233287
LAK 26025.676609
LBP 103223.017367
LKR 386.635196
LRD 208.057415
LSL 18.726567
LTL 3.413768
LVL 0.699335
LYD 7.331909
MAD 10.743067
MDL 20.044751
MGA 4918.938878
MKD 61.524236
MMK 2427.363841
MNT 4157.293457
MOP 9.314584
MRU 46.338424
MUR 54.419742
MVR 17.862733
MWK 1998.775164
MXN 19.812061
MYR 4.728715
MZN 73.882892
NAD 18.726567
NGN 1577.963717
NIO 42.419473
NOK 10.99759
NPR 175.501819
NZD 1.966719
OMR 0.442445
PAB 1.152686
PEN 3.903651
PGK 5.093937
PHP 70.183258
PKR 320.014324
PLN 4.299905
PYG 6853.914834
QAR 4.213648
RON 5.244583
RSD 117.338542
RUB 94.338828
RWF 1694.978938
SAR 4.341973
SBD 9.325039
SCR 16.705092
SDG 694.263698
SEK 10.961095
SGD 1.477585
SLE 28.445176
SOS 658.791814
SRD 43.778814
STD 23929.673396
STN 24.499696
SVC 10.085875
SZL 18.722767
THB 38.210709
TJS 10.633568
TMT 4.058036
TND 3.386358
TRY 55.144784
TTD 7.812903
TWD 37.286072
TZS 3051.762079
UAH 51.625959
UGX 4293.946644
USD 1.156136
UYU 46.399423
UZS 13785.828699
VES 873.763846
VND 30295.956222
VUV 137.068136
WST 3.160546
XAF 655.948849
XAG 0.018188
XAU 0.000266
XCD 3.124515
XCG 2.077474
XDR 0.81579
XOF 655.948849
XPF 119.331742
YER 275.626884
ZAR 18.667336
ZMK 10406.612213
ZMW 21.75673
ZWL 372.275202
  • CMSD

    -0.1600

    21.82

    -0.73%

  • CMSC

    0.0240

    21.744

    +0.11%

  • RIO

    1.4500

    101.1

    +1.43%

  • BCE

    -0.0200

    22.75

    -0.09%

  • GSK

    0.7900

    52.96

    +1.49%

  • RBGPF

    0.7600

    70.5

    +1.08%

  • RELX

    0.0485

    35.52

    +0.14%

  • BTI

    0.6000

    59.33

    +1.01%

  • NGG

    0.4700

    80.88

    +0.58%

  • AZN

    1.4100

    161.42

    +0.87%

  • RYCEF

    0.2300

    20.85

    +1.1%

  • BCC

    2.3400

    86.6

    +2.7%

  • VOD

    0.1900

    16.19

    +1.17%

  • BP

    -0.6000

    41.63

    -1.44%

  • JRI

    0.1500

    12.81

    +1.17%

The music industry is battling AI -- with limited success
The music industry is battling AI -- with limited success / Photo: LLUIS GENE - AFP

The music industry is battling AI -- with limited success

The music industry is fighting on platforms, through the courts and with legislators in a bid to prevent the theft and misuse of art from generative AI -- but it remains an uphill battle.

Text size:

Sony Music said recently it has already demanded that 75,000 deepfakes -- simulated images, tunes or videos that can easily be mistaken for real -- be rooted out, a figure reflecting the magnitude of the issue.

The information security company Pindrop says AI-generated music has "telltale signs" and is easy to detect, yet such music seems to be everywhere.

"Even when it sounds realistic, AI-generated songs often have subtle irregularities in frequency variation, rhythm and digital patterns that aren't present in human performances," said Pindrop, which specializes in voice analysis.

But it takes mere minutes on YouTube or Spotify -- two top music-streaming platforms -- to spot a fake rap from 2Pac about pizzas, or an Ariana Grande cover of a K-pop track that she never performed.

"We take that really seriously, and we're trying to work on new tools in that space to make that even better," said Sam Duboff, Spotify's lead on policy organization.

YouTube said it is "refining" its own ability to spot AI dupes, and could announce results in the coming weeks.

"The bad actors were a little bit more aware sooner," leaving artists, labels and others in the music business "operating from a position of reactivity," said Jeremy Goldman, an analyst at the company Emarketer.

"YouTube, with a multiple of billions of dollars per year, has a strong vested interest to solve this," Goldman said, adding that he trusts they're working seriously to fix it.

"You don't want the platform itself, if you're at YouTube, to devolve into, like, an AI nightmare," he said.

- Litigation -

But beyond deepfakes, the music industry is particularly concerned about unauthorized use of its content to train generative AI models like Suno, Udio or Mubert.

Several major labels filed a lawsuit last year at a federal court in New York against the parent company of Udio, accusing it of developing its technology with "copyrighted sound recordings for the ultimate purpose of poaching the listeners, fans and potential licensees of the sound recordings it copied."

More than nine months later, proceedings have yet to begin in earnest. The same is true for a similar case against Suno, filed in Massachusetts.

At the center of the litigation is the principle of fair use, allowing limited use of some copyrighted material without advance permission. It could limit the application of intellectual property rights.

"It's an area of genuine uncertainty," said Joseph Fishman, a law professor at Vanderbilt University.

Any initial rulings won't necessarily prove decisive, as varying opinions from different courts could punt the issue to the Supreme Court.

In the meantime, the major players involved in AI-generated music continue to train their models on copyrighted work -- raising the question of whether the battle isn't already lost.

Fishman said it may be too soon to say that: although many models are already training on protected material, new versions of those models are released continuously, and it's unclear whether any court decisions would create licensing issues for those models going forward.

- Deregulation -

When it comes to the legislative arena, labels, artists and producers have found little success.

Several bills have been introduced in the US Congress, but nothing concrete has resulted.

A few states -- notably Tennessee, home to much of the powerful country music industry -- have adopted protective legislation, notably when it comes to deepfakes.

Donald Trump poses another potential roadblock: the Republican president has postured himself as a champion of deregulation, particularly of AI.

Several giants in AI have jumped into the ring, notably Meta, which has urged the administration to "clarify that the use of publicly available data to train models is unequivocally fair use."

If Trump's White House takes that advice, it could push the balance against music professionals, even if the courts theoretically have the last word.

The landscape is hardly better in Britain, where the Labor government is considering overhauling the law to allow AI companies to use creators' content on the internet to help develop their models, unless rights holders opt out.

More than a thousand musicians, including Kate Bush and Annie Lennox, released an album in February entitled "Is This What We Want?" -- featuring the sound of silence recorded in several studios -- to protest those efforts.

For analyst Goldman, AI is likely to continue plaguing the music industry -- as long as it remains unorganized.

"The music industry is so fragmented," he said. "I think that that winds up doing it a disservice in terms of solving this thing."

(K.Lüdke--BBZ)