The Prague Post - Seeing is believing? Global scramble to tackle deepfakes

EUR -
AED 4.135003
AFN 74.312152
ALL 91.998807
AMD 407.29472
ANG 2.015836
AOA 1032.483179
ARS 1716.910796
AUD 1.624961
AWG 2.029499
AZN 1.91856
BAM 1.955775
BBD 2.262771
BDT 138.128209
BGN 1.895446
BHD 0.423495
BIF 3389.456062
BMD 1.125935
BND 1.437881
BOB 13.498825
BRL 5.867029
BSD 1.123485
BTN 108.843589
BWP 15.531799
BYN 3.383956
BYR 22068.333923
BZD 2.259471
CAD 1.604402
CDF 2600.911191
CHF 0.934977
CLF 0.028256
CLP 1115.712356
CNY 7.548891
CNH 7.557396
COP 3725.451706
CRC 514.793327
CUC 1.125935
CUP 26.96265
CVE 110.263571
CZK 24.454533
DJF 200.057407
DKK 7.479143
DOP 67.07913
DZD 150.570048
EGP 58.768238
ERN 16.889031
ETB 183.500221
FJD 2.530259
FKP 0.850378
GBP 0.852303
GEL 2.933107
GGP 0.850378
GHS 13.194829
GIP 0.850378
GMD 82.760588
GNF 9882.871886
GTQ 8.585889
GYD 235.006954
HKD 8.83567
HNL 30.162609
HRK 7.540056
HTG 147.118093
HUF 368.676725
IDR 20141.295479
ILS 3.436727
IMP 0.850378
INR 108.456295
IQD 1471.780921
IRR 1966490.662268
ISK 137.285738
JEP 0.850378
JMD 177.857694
JOD 0.798333
JPY 177.718077
KES 145.82811
KGS 98.463484
KHR 4556.940927
KMF 493.160101
KPW 1013.342222
KRW 1512.705907
KWD 0.347723
KYD 0.936188
KZT 504.773457
LAK 25235.672864
LBP 100605.895823
LKR 371.535184
LRD 192.10751
LSL 18.784656
LTL 3.324595
LVL 0.681068
LYD 7.194907
MAD 11.161855
MDL 20.07674
MGA 4963.935651
MKD 61.574202
MMK 2364.29564
MNT 4049.170136
MOP 9.080782
MRU 44.894418
MUR 54.214216
MVR 17.407387
MWK 1948.074747
MXN 20.447892
MYR 4.599338
MZN 71.951471
NAD 18.784656
NGN 1498.384001
NIO 41.339464
NOK 10.829927
NPR 174.149742
NZD 2.004693
OMR 0.432034
PAB 1.123485
PEN 3.89325
PGK 5.087934
PHP 70.464983
PKR 311.170466
PLN 4.386363
PYG 6572.914794
QAR 4.095147
RON 5.339077
RSD 117.478477
RUB 93.798784
RWF 1663.878431
SAR 4.214702
SBD 9.095387
SCR 15.468899
SDG 677.254284
SEK 11.304508
SGD 1.439625
SHP 0.850115
SLE 27.702139
SLL 23610.293318
SOS 642.091676
SRD 42.573311
STD 23304.589613
STN 24.499682
SVC 9.829873
SYP 14639.412412
SZL 18.780757
THB 37.722942
TJS 10.341466
TMT 3.940774
TND 3.347757
TOP 2.710982
TRY 55.314396
TTD 7.617901
TWD 35.829296
TZS 2960.361624
UAH 50.551445
UGX 4482.941887
USD 1.125935
UYU 45.279413
UZS 13250.828227
VES 974.472491
VND 29257.994447
VUV 134.641697
WST 3.139796
XAF 655.957
XAG 0.018651
XAU 0.000271910232
XCD 3.042897
XCG 2.024774
XDR 0.796095
XOF 655.957
XPF 119.331742
YER 266.062577
ZAR 18.752511
ZMK 10134.773796
ZMW 22.075714
ZWL 362.550741
SSP 6432.009051
MXV 2.313642
  • RIO

    1.3400

    94.21

    +1.42%

  • CMSC

    0.0800

    20.24

    +0.4%

  • BCE

    -0.1900

    19.73

    -0.96%

  • BCC

    0.2900

    74.99

    +0.39%

  • NGG

    0.7900

    76.12

    +1.04%

  • BTI

    0.2849

    52.64

    +0.54%

  • GSK

    -0.1500

    47.03

    -0.32%

  • RBGPF

    0.0900

    65.09

    +0.14%

  • VOD

    0.4400

    16.82

    +2.62%

  • RYCEF

    0.1200

    19.42

    +0.62%

  • AZN

    -0.8000

    156.9

    -0.51%

  • BP

    0.2900

    44.79

    +0.65%

  • RELX

    -0.0700

    33.42

    -0.21%

  • JRI

    0.1300

    10.9

    +1.19%

  • CMSD

    0.0900

    20.43

    +0.44%

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

A.Stransky--TPP