Berliner Boersenzeitung - Seeing is believing? Global scramble to tackle deepfakes

EUR -
AED 4.1039
AFN 71.518282
ALL 90.596933
AMD 402.732664
ANG 2.000029
AOA 1024.718441
ARS 1726.552642
AUD 1.624806
AWG 2.014237
AZN 1.905291
BAM 1.949726
BBD 2.25317
BDT 139.335896
BGN 1.953146
BHD 0.422281
BIF 3343.154414
BMD 1.117469
BND 1.428131
BOB 13.507795
BRL 6.138144
BSD 1.118715
BTN 105.631594
BWP 15.326114
BYN 3.337796
BYR 21902.38266
BZD 2.24987
CAD 1.57139
CDF 2586.939653
CHF 0.914743
CLF 0.027788
CLP 1093.51018
CNY 7.47419
CNH 7.452761
COP 3622.587044
CRC 507.31491
CUC 1.117469
CUP 26.847994
CVE 109.919102
CZK 24.354329
DJF 199.209359
DKK 7.475339
DOP 67.180098
DZD 152.247158
EGP 60.143721
ERN 16.762028
ETB 183.605829
FJD 2.530004
FKP 0.828775
GBP 0.833827
GEL 2.910992
GGP 0.828775
GHS 13.049228
GIP 0.828775
GMD 83.254541
GNF 9908.906907
GTQ 8.549097
GYD 234.387663
HKD 8.757819
HNL 30.067056
HRK 7.564155
HTG 146.611915
HUF 364.211482
IDR 20227.241501
ILS 3.571767
IMP 0.828775
INR 104.968454
IQD 1695.901207
IRR 2113527.40639
ISK 136.78913
JEP 0.828775
JMD 177.435608
JOD 0.792281
JPY 176.900881
KES 145.181654
KGS 97.720161
KHR 4551.818712
KMF 492.803438
KPW 1005.721609
KRW 1517.879473
KWD 0.347309
KYD 0.932283
KZT 502.996153
LAK 25177.22187
LBP 100465.766297
LKR 371.906326
LRD 190.174953
LSL 18.332084
LTL 3.299594
LVL 0.675945
LYD 7.161688
MAD 10.901937
MDL 20.000703
MGA 5072.152212
MKD 61.554642
MMK 2346.631266
MNT 4025.090542
MOP 9.039456
MRU 45.19479
MUR 52.555195
MVR 17.270463
MWK 1939.839031
MXN 20.883218
MYR 4.535845
MZN 71.4175
NAD 18.332738
NGN 1505.218973
NIO 41.17081
NOK 10.504774
NPR 169.013921
NZD 2.015438
OMR 0.429658
PAB 1.118705
PEN 3.853295
PGK 5.096077
PHP 70.413971
PKR 309.398892
PLN 4.393992
PYG 6892.526188
QAR 4.089132
RON 5.341167
RSD 117.652691
RUB 91.464807
RWF 1647.851338
SAR 4.194588
SBD 8.997541
SCR 15.361079
SDG 672.159515
SEK 11.026587
SGD 1.431863
SHP 0.833123
SLE 25.601046
SLL 23432.76069
SOS 639.302518
SRD 41.968771
STD 23129.341854
STN 24.423689
SVC 9.788373
SYP 14529.325125
SZL 18.325742
THB 37.482088
TJS 10.31981
TMT 3.922314
TND 3.33341
TOP 2.690596
TRY 56.049651
TTD 7.576294
TWD 36.589831
TZS 2954.212401
UAH 50.816625
UGX 4524.862203
USD 1.117469
UYU 45.059415
UZS 13349.290541
VES 998.7587
VND 28587.63798
VUV 133.552417
WST 3.104903
XAF 655.957
XAG 0.021457
XAU 0.000274761437
XCD 3.020015
XCG 2.016101
XDR 0.790108
XOF 655.957
XPF 119.331742
YER 263.918097
ZAR 18.459473
ZMK 10058.569965
ZMW 22.681133
ZWL 359.824402
SSP 6420.075745
MXV 2.349444
  • CMSD

    -0.1200

    19.81

    -0.61%

  • JRI

    0.0000

    10.77

    0%

  • BCC

    -1.8200

    74.15

    -2.45%

  • CMSC

    -0.2228

    19.53

    -1.14%

  • BCE

    0.2000

    20.34

    +0.98%

  • RIO

    0.0100

    94.17

    +0.01%

  • AZN

    -2.7400

    161.47

    -1.7%

  • GSK

    -1.1800

    48.17

    -2.45%

  • RBGPF

    0.0000

    65

    0%

  • NGG

    0.8800

    75.82

    +1.16%

  • RYCEF

    -0.7300

    19.08

    -3.83%

  • BTI

    -0.4500

    54.4

    -0.83%

  • BP

    0.4700

    43.99

    +1.07%

  • RELX

    -0.0600

    33.18

    -0.18%

  • VOD

    -0.1800

    16.15

    -1.11%

Seeing is believing? Global scramble to tackle deepfakes
Seeing is believing? Global scramble to tackle deepfakes / Photo: OLIVIER DOULIERY - AFP

Seeing is believing? Global scramble to tackle deepfakes

Chatbots spouting falsehoods, face-swapping apps crafting porn videos and cloned voices defrauding companies of millions -- the scramble is on to rein in AI deepfakes that have become a misinformation super spreader.

Text size:

Artificial Intelligence is redefining the proverb "seeing is believing," with a deluge of images created out of thin air and people shown mouthing things they never said in real-looking deepfakes that have eroded online trust.

"Yikes. (Definitely) not me," tweeted billionaire Elon Musk last year in one vivid example of a deepfake video that showed him promoting a crypto currency scam.

China recently adopted expansive rules to regulate deepfakes but most countries appear to be struggling to keep up with the fast-evolving technology amid concerns that regulation could stymie innovation or be misused to curtail free speech.

Experts warn that deepfake detectors are vastly outpaced by creators, who are hard to catch as they operate anonymously using AI-based software that was once touted as a specialized skill but is now widely available at low cost.

Facebook owner Meta last year said it took down a deepfake video of Ukrainian President Volodymyr Zelensky urging citizens to lay down their weapons and surrender to Russia.

And British campaigner Kate Isaacs, 30, said her "heart sank" when her face appeared in a deepfake porn video that unleashed a barrage of online abuse after an unknown user posted it on Twitter.

"I remember just feeling like this video was going to go everywhere -- it was horrendous," Isaacs, who campaigns against non-consensual porn, was quoted as saying by the BBC in October.

The following month, the British government voiced concern about deepfakes and warned of a popular website that "virtually strips women naked."

- 'Information apocalypse' –

With no barriers to creating AI-synthesized text, audio and video, the potential for misuse in identity theft, financial fraud and tarnish reputations has sparked global alarm.

The Eurasia group called the AI tools "weapons of mass disruption."

"Technological advances in artificial intelligence will erode social trust, empower demagogues and authoritarians, and disrupt businesses and markets," the group warned in a report.

"Advances in deepfakes, facial recognition, and voice synthesis software will render control over one's likeness a relic of the past."

This week AI startup ElevenLabs admitted that its voice cloning tool could be misused for "malicious purposes" after users posted a deepfake audio purporting to be actor Emma Watson reading Adolf Hitler's biography "Mein Kampf."

The growing volume of deepfakes may lead to what the European law enforcement agency Europol described as an "information apocalypse," a scenario where many people are unable to distinguish fact from fiction.

"Experts fear this may lead to a situation where citizens no longer have a shared reality or could create societal confusion about which information sources are reliable," Europol said in a report.

That was demonstrated last weekend when NFL player Damar Hamlin spoke to his fans in a video for the first time since he suffered a cardiac arrest during a match.

Hamlin thanked medical professionals responsible for his recovery, but many who believed conspiracy theories that the Covid-19 vaccine was behind his on-field collapse baselessly labelled his video a deepfake.

- 'Super spreader' -

China enforced new rules last month that will require businesses offering deepfake services to obtain the real identities of their users. They also require deepfake content to be appropriately tagged to avoid "any confusion."

The rules came after the Chinese government warned that deepfakes present a "danger to national security and social stability."

In the United States, where lawmakers have pushed for a task force to police deepfakes, digital rights activists caution against legislative overreach that could kill innovation or target legitimate content.

The European Union, meanwhile, is locked in heated discussions over its proposed "AI Act."

The law, which the EU is racing to pass this year, will require users to disclose deepfakes but many fear the legislation could prove toothless if it does not cover creative or satirical content.

"How do you reinstate digital trust with transparency? That is the real question right now," Jason Davis, a research professor at Syracuse University, told AFP.

"The (detection) tools are coming and they're coming relatively quickly. But the technology is moving perhaps even quicker. So like cyber security, we will never solve this, we will only hope to keep up."

Many are already struggling to comprehend advances such as ChatGPT, a chatbot created by the US-based OpenAI that is capable of generating strikingly cogent texts on almost any topic.

In a study, media watchdog NewsGuard, which called it the "next great misinformation super spreader," said most of the chatbot's responses to prompts related to topics such as Covid-19 and school shootings were "eloquent, false and misleading."

"The results confirm fears... about how the tool can be weaponized in the wrong hands," NewsGuard said.

burs-ac/bgs

(K.Lüdke--BBZ)