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

USD -
AED 3.672497
AFN 64.999771
ALL 81.582377
AMD 360.882256
ANG 1.789785
AOA 916.999778
ARS 1513.286102
AUD 1.428571
AWG 1.8025
AZN 1.702857
BAM 1.745767
BBD 2.010818
BDT 122.957039
BGN 1.747831
BHD 0.377028
BIF 2993.734045
BMD 1
BND 1.278094
BOB 11.745856
BRL 5.027803
BSD 0.998358
BTN 95.077255
BWP 13.71554
BYN 3.006574
BYR 19600
BZD 2.007953
CAD 1.42012
CDF 2312.499053
CHF 0.831845
CLF 0.024962
CLP 982.439958
CNY 6.69215
CNH 6.691775
COP 3190.42
CRC 454.504882
CUC 1
CUP 23.962118
CVE 98.423651
CZK 21.732995
DJF 177.785315
DKK 6.667705
DOP 61.21356
DZD 134.431967
EGP 52.789501
ERN 15
ETB 163.077994
EUR 0.89202
FJD 2.244702
FKP 0.757299
GBP 0.753385
GEL 2.595027
GGP 0.757299
GHS 11.656595
GIP 0.757299
GMD 73.999464
GNF 8783.087202
GTQ 7.632709
GYD 208.879685
HKD 7.84821
HNL 26.799007
HRK 6.721597
HTG 130.594284
HUF 324.569005
IDR 17881.15
ILS 3.075575
IMP 0.757299
INR 95.03225
IQD 1512.563038
IRR 1779859.999906
ISK 121.497322
JEP 0.757299
JMD 158.550083
JOD 0.709009
JPY 158.269501
KES 129.729798
KGS 87.449965
KHR 4063.052288
KMF 439.999584
KPW 899.999961
KRW 1338.194989
KWD 0.31181
KYD 0.831994
KZT 447.800628
LAK 22454.499201
LBP 89407.306906
LKR 330.319287
LRD 170.229669
LSL 16.463022
LTL 2.95274
LVL 0.60489
LYD 6.422158
MAD 9.762119
MDL 17.941062
MGA 4507.580322
MKD 54.962466
MMK 2100.154921
MNT 3596.159888
MOP 8.070711
MRU 40.044986
MUR 47.740248
MVR 15.46026
MWK 1731.260153
MXN 18.370651
MYR 4.081601
MZN 63.898401
NAD 16.463243
NGN 1329.580028
NIO 36.738847
NOK 9.49628
NPR 152.119892
NZD 1.77697
OMR 0.38449
PAB 0.998384
PEN 3.444136
PGK 4.528982
PHP 62.791502
PKR 276.426442
PLN 3.89815
PYG 5708.088616
QAR 3.63935
RON 4.760904
RSD 104.704021
RUB 83.873897
RWF 1475.08792
SAR 3.75887
SBD 8.078071
SCR 13.812051
SDG 601.490641
SEK 9.945995
SGD 1.279915
SHP 0.754518
SLE 24.670158
SLL 20969.504398
SOS 570.541086
SRD 37.647502
STD 20697.981008
STN 21.868361
SVC 8.735897
SYP 13001.999685
SZL 16.465537
THB 33.547501
TJS 9.215306
TMT 3.5
TND 2.989173
TOP 2.40776
TRY 49.385699
TTD 6.790024
TWD 32.1652
TZS 2630.000031
UAH 45.038404
UGX 4133.677286
UYU 40.131749
UZS 11879.74757
VES 875.701604
VND 25892.5
VUV 119.051984
WST 2.777036
XAF 585.12675
XAG 0.016894
XAU 0.000240277184
XCD 2.70255
XCG 1.799397
XDR 0.707052
XOF 585.12675
XPF 106.452678
YER 236.202159
ZAR 16.461202
ZMK 9001.152639
ZMW 19.87602
ZWL 321.999592
SSP 5758.266415
MXV 2.074597
  • RYCEF

    0.4000

    19.71

    +2.03%

  • CMSC

    0.0000

    20.4

    0%

  • BTI

    0.4200

    56.05

    +0.75%

  • BP

    0.2800

    44.43

    +0.63%

  • RBGPF

    1.6000

    67

    +2.39%

  • RIO

    -0.1500

    94.41

    -0.16%

  • AZN

    -0.4300

    166.15

    -0.26%

  • GSK

    0.4600

    49.7

    +0.93%

  • BCE

    -0.4100

    20.56

    -1.99%

  • NGG

    -0.2500

    75.24

    -0.33%

  • VOD

    -0.0400

    16.58

    -0.24%

  • RELX

    -0.4500

    33.07

    -1.36%

  • BCC

    -0.5500

    76.59

    -0.72%

  • CMSD

    -0.0300

    20.27

    -0.15%

  • JRI

    -0.2500

    10.77

    -2.32%

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