The Prague Post - The music industry is battling AI -- with limited success

EUR -
AED 4.199055
AFN 73.176343
ALL 93.736674
AMD 418.740472
ANG 2.047106
AOA 1049.030252
ARS 1698.78048
AUD 1.645562
AWG 2.058079
AZN 1.962695
BAM 1.955522
BBD 2.302573
BDT 140.901202
BGN 1.933315
BHD 0.431042
BIF 3402.231219
BMD 1.143377
BND 1.476597
BOB 7.916555
BRL 5.876164
BSD 1.143247
BTN 108.514523
BWP 15.440805
BYN 3.26545
BYR 22410.19818
BZD 2.299273
CAD 1.625505
CDF 2578.315681
CHF 0.921848
CLF 0.02691
CLP 1059.09933
CNY 7.770849
CNH 7.771508
COP 3836.820303
CRC 520.82596
CUC 1.143377
CUP 30.299503
CVE 110.250773
CZK 24.229483
DJF 203.583729
DKK 7.474539
DOP 67.510993
DZD 152.110291
EGP 55.856619
ERN 17.150662
ETB 183.392433
FJD 2.559682
FKP 0.855338
GBP 0.854109
GEL 3.012816
GGP 0.855338
GHS 13.050316
GIP 0.855338
GMD 84.046882
GNF 10026.70615
GTQ 8.722836
GYD 239.139141
HKD 8.966738
HNL 30.602917
HRK 7.534284
HTG 149.560047
HUF 353.886185
IDR 20456.680624
ILS 3.458774
IMP 0.855338
INR 108.506007
IQD 1497.6002
IRR 1572944.369234
ISK 143.791093
JEP 0.855338
JMD 180.054404
JOD 0.810647
JPY 185.114523
KES 147.826876
KGS 99.988572
KHR 4592.347155
KMF 493.362371
KPW 1029.040113
KRW 1730.764682
KWD 0.354092
KYD 0.952669
KZT 536.448431
LAK 25760.563196
LBP 102375.989365
LKR 382.758935
LRD 207.841362
LSL 18.569223
LTL 3.376097
LVL 0.691618
LYD 7.332958
MAD 10.69018
MDL 20.11514
MGA 4847.353298
MKD 61.641602
MMK 2400.427177
MNT 4099.700177
MOP 9.234387
MRU 45.622514
MUR 53.830285
MVR 17.665285
MWK 1981.944249
MXN 19.916778
MYR 4.654571
MZN 73.061641
NAD 18.569223
NGN 1567.273882
NIO 42.074387
NOK 11.213172
NPR 173.621318
NZD 2.008754
OMR 0.439627
PAB 1.143247
PEN 3.886481
PGK 5.024286
PHP 70.242257
PKR 317.844395
PLN 4.292479
PYG 6960.010569
QAR 4.167808
RON 5.233701
RSD 117.34716
RUB 87.180244
RWF 1675.369157
SAR 4.294937
SBD 9.258415
SCR 15.390648
SDG 686.598532
SEK 11.043311
SGD 1.476426
SHP 0.853647
SLE 27.86985
SLL 23976.057799
SOS 653.307126
SRD 43.097351
STD 23665.604914
STN 24.496732
SVC 10.003709
SYP 126.379909
SZL 18.558443
THB 38.033879
TJS 10.569136
TMT 4.001821
TND 3.381419
TOP 2.752979
TRY 53.555491
TTD 7.758897
TWD 36.705501
TZS 3001.369264
UAH 50.876512
UGX 4184.405147
USD 1.143377
UYU 46.013459
UZS 13738.047008
VES 761.736568
VND 30061.68013
VUV 137.371201
WST 3.164616
XAF 655.863763
XAG 0.018593
XAU 0.000275
XCD 3.090035
XCG 2.060307
XDR 0.815445
XOF 655.863763
XPF 119.331742
YER 271.066227
ZAR 18.561363
ZMK 10291.771981
ZMW 21.06419
ZWL 368.167075
  • RIO

    -1.3400

    92.24

    -1.45%

  • BCE

    0.6400

    21.51

    +2.98%

  • VOD

    0.2000

    13.28

    +1.51%

  • RBGPF

    0.1700

    68.32

    +0.25%

  • BCC

    -1.2800

    74

    -1.73%

  • CMSD

    -0.0100

    22.22

    -0.05%

  • BTI

    0.4600

    61.92

    +0.74%

  • NGG

    1.0200

    83.61

    +1.22%

  • GSK

    0.7200

    53.81

    +1.34%

  • BP

    0.8250

    38.215

    +2.16%

  • AZN

    2.3600

    192.52

    +1.23%

  • JRI

    -0.0350

    13.075

    -0.27%

  • RELX

    0.7500

    33.02

    +2.27%

  • RYCEF

    -0.6300

    19.46

    -3.24%

  • CMSC

    0.0100

    22.07

    +0.05%

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."

V.Sedlak--TPP