The Fort Worth Press - AI tools generate sexist content, warns UN

USD -
AED 3.673015
AFN 64.000095
ALL 82.213633
AMD 367.28977
ANG 1.790403
AOA 917.503281
ARS 1487.545301
AUD 1.442356
AWG 1.8
AZN 1.702255
BAM 1.714216
BBD 2.014068
BDT 123.245347
BGN 1.69088
BHD 0.377025
BIF 2981
BMD 1
BND 1.293645
BOB 6.923833
BRL 5.161098
BSD 1.00011
BTN 95.501039
BWP 13.579273
BYN 2.873533
BYR 19600
BZD 2.011079
CAD 1.417105
CDF 2262.000181
CHF 0.808115
CLF 0.023741
CLP 934.369645
CNY 6.80325
CNH 6.805945
COP 3341.41
CRC 454.896049
CUC 1
CUP 26.5
CVE 96.931123
CZK 21.233701
DJF 177.720506
DKK 6.543645
DOP 58.894926
DZD 133.178994
EGP 49.620991
ERN 15
ETB 161.395791
EUR 0.87525
FJD 2.2377
FKP 0.747893
GBP 0.746195
GEL 2.644955
GGP 0.747893
GHS 11.424969
GIP 0.747893
GMD 73.506089
GNF 8770.461269
GTQ 7.629975
GYD 209.171465
HKD 7.839299
HNL 26.767174
HRK 6.595397
HTG 130.872086
HUF 314.598936
IDR 18076
ILS 3.04275
IMP 0.747893
INR 95.57295
IQD 1310.047113
IRR 1374999.999544
ISK 125.360234
JEP 0.747893
JMD 158.397097
JOD 0.70899
JPY 162.522498
KES 129.259905
KGS 87.449828
KHR 4027.416231
KMF 430.999987
KPW 900.00035
KRW 1506.415001
KWD 0.30996
KYD 0.833268
KZT 469.152358
LAK 22526.360075
LBP 89544.669699
LKR 335.119974
LRD 181.492291
LSL 16.393971
LTL 2.95274
LVL 0.60489
LYD 6.416015
MAD 9.361223
MDL 17.58916
MGA 4243.906287
MKD 53.962834
MMK 2099.538185
MNT 3585.774335
MOP 8.074027
MRU 39.895694
MUR 47.180274
MVR 15.460042
MWK 1733.93635
MXN 17.565125
MYR 4.0772
MZN 63.910288
NAD 16.394259
NGN 1376.510461
NIO 36.795674
NOK 9.77646
NPR 152.801662
NZD 1.753199
OMR 0.384507
PAB 0.999974
PEN 3.406711
PGK 4.396413
PHP 61.590947
PKR 277.971995
PLN 3.77045
PYG 6077.791169
QAR 3.635631
RON 4.582206
RSD 102.714485
RUB 76.800042
RWF 1470.379427
SAR 3.793621
SBD 8.097299
SCR 13.807021
SDG 600.498678
SEK 9.696835
SGD 1.293615
SHP 0.746601
SLE 24.374967
SLL 20969.503664
SOS 571.463631
SRD 37.605497
STD 20697.981008
STN 21.474745
SVC 8.750301
SYP 110.532098
SZL 16.402179
THB 33.445498
TJS 9.259464
TMT 3.51
TND 2.95659
TOP 2.40776
TRY 46.854901
TTD 6.791828
TWD 32.076801
TZS 2628.464983
UAH 44.491862
UGX 3694.532705
UYU 40.267339
UZS 12012.709543
VES 674.08685
VND 26295
VUV 119.800928
WST 2.768482
XAF 574.931854
XAG 0.017163
XAU 0.000246
XCD 2.70255
XCG 1.802126
XDR 0.715112
XOF 574.931854
XPF 104.531968
YER 237.05022
ZAR 16.38265
ZMK 9001.199005
ZMW 18.173771
ZWL 321.999592
  • RBGPF

    -6.6500

    61.5

    -10.81%

  • CMSC

    0.0400

    22.02

    +0.18%

  • CMSD

    0.1300

    22.32

    +0.58%

  • BCC

    -2.2520

    71.148

    -3.17%

  • RIO

    -2.2800

    88.97

    -2.56%

  • NGG

    0.4700

    83.58

    +0.56%

  • RELX

    -0.6450

    32.165

    -2.01%

  • RYCEF

    -0.4200

    19.01

    -2.21%

  • BCE

    0.1350

    21.535

    +0.63%

  • JRI

    -0.0750

    13.025

    -0.58%

  • GSK

    -0.6750

    52.645

    -1.28%

  • BTI

    -0.2800

    61.52

    -0.46%

  • AZN

    -3.4200

    189.7

    -1.8%

  • VOD

    0.0400

    13.09

    +0.31%

  • BP

    0.6150

    39.225

    +1.57%

AI tools generate sexist content, warns UN
AI tools generate sexist content, warns UN / Photo: © AFP/File

AI tools generate sexist content, warns UN

The world's most popular AI tools are powered by programs from OpenAI and Meta that show prejudice against women, according to a study launched on Thursday by the UN's cultural organisation UNESCO.

Text size:

The biggest players in the multibillion-dollar AI field train their algorithms on vast amounts of data largely pulled from the internet, which enables their tools to write in the style of Oscar Wilde or create Salvador Dali-inspired images.

But their outputs have often been criticised for reflecting racial and sexist stereotypes, as well as using copyrighted material without permission.

UNESCO experts tested Meta's Llama 2 algorithm and OpenAI's GPT-2 and GPT-3.5, the program that powers the free version of popular chatbot ChatGPT.

The study found that each algorithm -- known in the industry as Large Language Models (LLMs) -- showed "unequivocal evidence of prejudice against women".

The programs generated texts that associated women's names with words such as "home", "family" or "children", but men's names were linked with "business", "salary" or "career".

While men were portrayed in high-status jobs like teachers, lawyers and doctors, women were frequently prostitutes, cooks or domestic servants.

GPT-3.5 was found to be less biased than the other two models.

However, the authors praised Llama 2 and GPT-2 for being open source, allowing these problems to be scrutinised, unlike GPT-3.5, which is a closed model.

AI companies "are really not serving all of their users", Leona Verdadero, a UNESCO specialist in digital policies, told AFP.

Audrey Azoulay, UNESCO's director general, said the general public were increasingly using AI tools in their everyday lives.

"These new AI applications have the power to subtly shape the perceptions of millions of people, so even small gender biases in their content can significantly amplify inequalities in the real world," she said.

UNESCO, releasing the report to mark International Women's Day, recommended AI companies hire more women and minorities and called on governments to ensure ethical AI through regulation.

L.Rodriguez--TFWP