The China Mail - The music industry is battling AI -- with limited success

USD -
AED 3.67301
AFN 71.021929
ALL 86.757891
AMD 388.845938
ANG 1.80229
AOA 916.000148
ARS 1165.000022
AUD 1.559315
AWG 1.8025
AZN 1.70406
BAM 1.718274
BBD 2.002838
BDT 121.45998
BGN 1.72222
BHD 0.376957
BIF 2973.111879
BMD 1
BND 1.309923
BOB 6.907155
BRL 5.619799
BSD 0.999627
BTN 85.145488
BWP 13.647565
BYN 3.271381
BYR 19600
BZD 2.008021
CAD 1.382775
CDF 2877.999765
CHF 0.824198
CLF 0.024644
CLP 945.690142
CNY 7.269496
CNH 7.2656
COP 4197
CRC 505.357119
CUC 1
CUP 26.5
CVE 96.873243
CZK 21.90485
DJF 178.012449
DKK 6.56135
DOP 58.908545
DZD 132.288977
EGP 50.801298
ERN 15
ETB 133.81045
EUR 0.87892
FJD 2.256403
FKP 0.746656
GBP 0.74686
GEL 2.745039
GGP 0.746656
GHS 14.294876
GIP 0.746656
GMD 71.492633
GNF 8658.065706
GTQ 7.698728
GYD 209.76244
HKD 7.75695
HNL 25.941268
HRK 6.620396
HTG 130.799
HUF 355.319478
IDR 16646.9
ILS 3.62904
IMP 0.746656
INR 85.090398
IQD 1309.571398
IRR 42100.000211
ISK 128.410025
JEP 0.746656
JMD 158.35182
JOD 0.7092
JPY 142.663004
KES 129.349896
KGS 87.450261
KHR 4001.774662
KMF 432.250121
KPW 900.101764
KRW 1422.724972
KWD 0.30632
KYD 0.833044
KZT 511.344318
LAK 21622.072771
LBP 89567.707899
LKR 299.446072
LRD 199.931473
LSL 18.549157
LTL 2.95274
LVL 0.60489
LYD 5.468994
MAD 9.272737
MDL 17.203829
MGA 4511.41031
MKD 54.061297
MMK 2099.785163
MNT 3572.381038
MOP 7.98763
MRU 39.575655
MUR 45.229907
MVR 15.400483
MWK 1733.40069
MXN 19.553103
MYR 4.310956
MZN 64.01011
NAD 18.549157
NGN 1601.519845
NIO 36.785022
NOK 10.359235
NPR 136.237321
NZD 1.68312
OMR 0.384995
PAB 0.999613
PEN 3.664973
PGK 4.141482
PHP 55.858498
PKR 280.826287
PLN 3.75155
PYG 8005.376746
QAR 3.644223
RON 4.374502
RSD 102.966435
RUB 82.000422
RWF 1428.979332
SAR 3.751033
SBD 8.361298
SCR 14.651979
SDG 600.501985
SEK 9.643735
SGD 1.305825
SHP 0.785843
SLE 22.75021
SLL 20969.483762
SOS 571.328164
SRD 36.849418
STD 20697.981008
SVC 8.746876
SYP 13001.961096
SZL 18.542907
THB 33.321501
TJS 10.555936
TMT 3.51
TND 2.990231
TOP 2.342102
TRY 38.501202
TTD 6.782431
TWD 31.975997
TZS 2685.000535
UAH 41.530014
UGX 3663.550745
UYU 42.090559
UZS 12943.724275
VES 86.54811
VND 26005
VUV 121.306988
WST 2.770092
XAF 576.298184
XAG 0.030422
XAU 0.000302
XCD 2.70255
XDR 0.71673
XOF 576.29312
XPF 104.776254
YER 245.050187
ZAR 18.54398
ZMK 9001.200989
ZMW 27.965227
ZWL 321.999592
  • RIO

    0.0100

    60.88

    +0.02%

  • CMSD

    -0.1300

    22.35

    -0.58%

  • RBGPF

    -0.4500

    63

    -0.71%

  • JRI

    0.1300

    12.93

    +1.01%

  • NGG

    0.1900

    73.04

    +0.26%

  • BCC

    -0.8300

    94.5

    -0.88%

  • SCS

    0.1500

    10.01

    +1.5%

  • CMSC

    -0.0800

    22.24

    -0.36%

  • BCE

    0.1100

    21.92

    +0.5%

  • RYCEF

    -0.1300

    10.12

    -1.28%

  • VOD

    0.0100

    9.58

    +0.1%

  • BTI

    0.4700

    42.86

    +1.1%

  • RELX

    0.4300

    53.79

    +0.8%

  • GSK

    0.9100

    38.97

    +2.34%

  • AZN

    1.7800

    71.71

    +2.48%

  • BP

    -1.0600

    28.07

    -3.78%

The music industry is battling AI -- with limited success
The music industry is battling AI -- with limited success / Photo: © 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."

C.Smith--ThChM