The Japan Times - The music industry is battling AI -- with limited success

EUR -
AED 4.172449
AFN 82.254546
ALL 99.443406
AMD 442.670645
ANG 2.033567
AOA 1042.825181
ARS 1220.14119
AUD 1.806576
AWG 2.044754
AZN 1.92488
BAM 1.95567
BBD 2.288848
BDT 137.740866
BGN 1.961173
BHD 0.427772
BIF 3370.076522
BMD 1.135975
BND 1.496901
BOB 7.833481
BRL 6.659769
BSD 1.133625
BTN 97.596528
BWP 15.810952
BYN 3.709854
BYR 22265.103548
BZD 2.277049
CAD 1.57554
CDF 3265.357312
CHF 0.926355
CLF 0.02877
CLP 1119.195783
CNY 8.283646
CNH 8.276496
COP 4910.274388
CRC 581.661429
CUC 1.135975
CUP 30.103329
CVE 110.257689
CZK 25.124921
DJF 201.666627
DKK 7.469719
DOP 70.015357
DZD 149.546531
EGP 58.260137
ERN 17.03962
ETB 147.302732
FJD 2.589455
FKP 0.868407
GBP 0.868349
GEL 3.135399
GGP 0.868407
GHS 17.570835
GIP 0.868407
GMD 81.22142
GNF 9813.349253
GTQ 8.74342
GYD 237.164273
HKD 8.810449
HNL 29.370052
HRK 7.534352
HTG 148.330164
HUF 409.939099
IDR 19081.136942
ILS 4.222247
IMP 0.868407
INR 97.663321
IQD 1485.001526
IRR 47824.533976
ISK 145.293274
JEP 0.868407
JMD 179.688084
JOD 0.805518
JPY 163.034823
KES 146.800265
KGS 99.34072
KHR 4541.698829
KMF 499.267593
KPW 1022.377204
KRW 1614.430113
KWD 0.348108
KYD 0.944737
KZT 585.821153
LAK 24559.371409
LBP 101571.664539
LKR 338.137577
LRD 226.724965
LSL 21.86905
LTL 3.354238
LVL 0.68714
LYD 6.299582
MAD 10.546101
MDL 20.093668
MGA 5113.660901
MKD 61.53092
MMK 2384.765967
MNT 4016.504602
MOP 9.055999
MRU 44.688037
MUR 49.867712
MVR 17.490167
MWK 1965.669652
MXN 23.068039
MYR 5.023852
MZN 72.599596
NAD 21.86905
NGN 1814.230675
NIO 41.717234
NOK 12.117785
NPR 156.154645
NZD 1.949502
OMR 0.437358
PAB 1.133625
PEN 4.231219
PGK 4.684689
PHP 64.755101
PKR 317.836523
PLN 4.289593
PYG 9069.398586
QAR 4.133426
RON 4.979772
RSD 117.212227
RUB 94.490234
RWF 1633.891653
SAR 4.263352
SBD 9.490347
SCR 16.273921
SDG 682.148639
SEK 11.10279
SGD 1.499036
SHP 0.892698
SLE 25.877689
SLL 23820.802413
SOS 647.857039
SRD 42.08335
STD 23512.382162
SVC 9.919342
SYP 14769.650556
SZL 21.857551
THB 38.057425
TJS 12.316683
TMT 3.975911
TND 3.411774
TOP 2.660563
TRY 43.085181
TTD 7.708489
TWD 36.779677
TZS 3038.098536
UAH 46.928988
UGX 4165.723761
USD 1.135975
UYU 49.176739
UZS 14701.02514
VES 87.604152
VND 29259.867583
VUV 139.642884
WST 3.209879
XAF 655.913505
XAG 0.035183
XAU 0.000351
XCD 3.070028
XDR 0.815746
XOF 655.913505
XPF 119.331742
YER 278.655612
ZAR 21.72931
ZMK 10225.131818
ZMW 31.995878
ZWL 365.783381
  • VOD

    0.2800

    8.73

    +3.21%

  • RBGPF

    62.0100

    62.01

    +100%

  • BTI

    1.0200

    41.57

    +2.45%

  • RYCEF

    -0.0100

    9.12

    -0.11%

  • GSK

    1.0400

    34.64

    +3%

  • CMSC

    -0.3500

    21.8

    -1.61%

  • AZN

    1.4200

    66.29

    +2.14%

  • NGG

    2.4700

    68.06

    +3.63%

  • RELX

    0.1000

    49.12

    +0.2%

  • RIO

    1.9900

    56.86

    +3.5%

  • CMSD

    -0.3000

    21.9

    -1.37%

  • SCS

    -0.0300

    10.18

    -0.29%

  • JRI

    0.1450

    11.91

    +1.22%

  • BCC

    0.9800

    95.66

    +1.02%

  • BP

    0.3600

    26.59

    +1.35%

  • BCE

    0.3800

    21.36

    +1.78%

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."

T.Shimizu--JT