Assessing gender bias in machine translation: a case study with Google Translate

Assessing gender bias in machine translation: a case study with Google Translate | Neural Computing and Applications https://t.co/AqhyKYlFwQ

@JongraeK 구글 번역이 STEM 관련 주제에서 성별 관련 편향이 특히 심하다는 연구를 봤어요! 다른 학습 기반 기계 번역도 비슷할 것 같지만요 🧐 https://t.co/VMw8rFC9nG

There remain many issues on gender bias in tech/AI/ML deployment. See e.g. https://t.co/AqhyKYlFwQ “Assessing gender bias in machine translation” by @marceloprates_ et al.

'We then show that Google Translate exhibits a strong tendency toward male defaults.' Hardly news, but still infuriating + wrong. https://t.co/gPZKWtS09j

@sunipa17 @arjunsubgraph @MMonajatipoor @ovalle_elia @probablyjeff @kaiwei_chang Great work. Please also see this work which seems related to your research https://t.co/AqhyKYlFwQ

RT @luislamb: Assessing gender bias in machine translation: a case study with Google Translate #WomensEqualityDay2021 https://t.co/AqhyKYl…

Assessing gender bias in machine translation: a case study with Google Translate #WomensEqualityDay2021 https://t.co/AqhyKYlFwQ

@odsc See also “Assessing gender boas in machine translation: a case study with google translate”. Probably one of the first analyses of these issues. https://t.co/4OA1wNGYWJ https://t.co/AqhyKYlFwQ

@odsc Quite relevant; see also “Assessing gender bias in machine translation” https://t.co/AqhyKYlFwQ

RT @betalars: Why "they raise a child" in Hungarian becomes "she raises a child" when translated to English by a bot. Don't forget: most A…

Why "they raise a child" in Hungarian becomes "she raises a child" when translated to English by a bot. Don't forget: most Algorithms are likely as biased as their creators. And machine learning will reproduce sexism when fed a biased data set.

RT @DoraVargha: I did not expect this tweet to blow up this way and I'm very happy to see the conversations unfolding. Off this is not a ne…

RT @DoraVargha: I did not expect this tweet to blow up this way and I'm very happy to see the conversations unfolding. Off this is not a ne…

RT @DoraVargha: I did not expect this tweet to blow up this way and I'm very happy to see the conversations unfolding. Off this is not a ne…

Assessing gender bias in machine translation: a case study with Google Translate | SpringerLink https://t.co/AqhyKYlFwQ

https://t.co/Q49biQIWyc

RT @DoraVargha: I did not expect this tweet to blow up this way and I'm very happy to see the conversations unfolding. Off this is not a ne…

RT @luislamb: @GaryMarcus There is an interesting related paper by @marceloprates_ and Pedro Avelar on “Assessing of gender bias in machin…

RT @GaryMarcus: Some systematic data re machine translation below. Other things being equal, current AI systems tend to perpetuate and ex…

RT @GaryMarcus: Some systematic data re machine translation below. Other things being equal, current AI systems tend to perpetuate and ex…

RT @luislamb: @GaryMarcus There is an interesting related paper by @marceloprates_ and Pedro Avelar on “Assessing of gender bias in machin…

RT @GaryMarcus: Some systematic data re machine translation below. Other things being equal, current AI systems tend to perpetuate and ex…

RT @luislamb: @GaryMarcus There is an interesting related paper by @marceloprates_ and Pedro Avelar on “Assessing of gender bias in machin…

RT @GaryMarcus: Some systematic data re machine translation below. Other things being equal, current AI systems tend to perpetuate and ex…

RT @GaryMarcus: Some systematic data re machine translation below. Other things being equal, current AI systems tend to perpetuate and ex…

RT @GaryMarcus: Some systematic data re machine translation below. Other things being equal, current AI systems tend to perpetuate and ex…

Some systematic data re machine translation below. Other things being equal, current AI systems tend to perpetuate and exacerbate historical bias. Best way to combat this is to develop systems with deeper understanding. Patching up individual datasets

RT @luislamb: @GaryMarcus There is an interesting related paper by @marceloprates_ and Pedro Avelar on “Assessing of gender bias in machin…

RT @luislamb: @GaryMarcus There is an interesting related paper by @marceloprates_ and Pedro Avelar on “Assessing of gender bias in machin…

@GaryMarcus There is an interesting related paper by @marceloprates_ and Pedro Avelar on “Assessing of gender bias in machine translation”: https://t.co/I5D83vvsL3

@Whats_AI There is a paper by @marceloprates_ & Avelar that analyses a related issue: Assessing gender bias in machine translation https://t.co/hRV409OH8Z

RT @DoraVargha: I did not expect this tweet to blow up this way and I'm very happy to see the conversations unfolding. Off this is not a ne…

RT @DoraVargha: I did not expect this tweet to blow up this way and I'm very happy to see the conversations unfolding. Off this is not a ne…

RT @DoraVargha: I did not expect this tweet to blow up this way and I'm very happy to see the conversations unfolding. Off this is not a ne…

I did not expect this tweet to blow up this way and I'm very happy to see the conversations unfolding. Off this is not a new problem and research has been done on gender bias in machine translation, see e.g. https://t.co/6RSxXcJ6PO

@WildlifeMcCoy @solarpunk_girl Actually it looks like they have implemented that! Based on this paper: https://t.co/7eh0cKtOy9 Doesn't explain why this tool failed in the image shown in the original post https://t.co/NTSwTcVsw7

@kefimochi There was a good academic paper about this a year or two ago https://t.co/UwSLA8frgD

https://t.co/udbk5yIs9d

The paper is here: https://t.co/AqhyKYlFwQ

Assessing gender bias in machine translation: https://t.co/AqhyKYlFwQ

RT @luislamb: @RafaelRoesler @womensbrainpro @LiisaGalea @Sil_CatSolarz AI tools and methods must take this into account, reducing and elim…

RT @luislamb: @RafaelRoesler @womensbrainpro @LiisaGalea @Sil_CatSolarz AI tools and methods must take this into account, reducing and elim…

So much work still to be done.

@RafaelRoesler @womensbrainpro @LiisaGalea @Sil_CatSolarz AI tools and methods must take this into account, reducing and eliminating biases. Much to be done. See e.g. our works on Ethics in AI and on gender bias in machine translation https://t.co/hDZNPtVZ

RT @luislamb: https://t.co/SibeYjcS3p "Assessing gender bias in machine translation: a case study with Google Translate" is finally 'forma…

RT @luislamb: https://t.co/SibeYjcS3p "Assessing gender bias in machine translation: a case study with Google Translate" is finally 'forma…

RT @luislamb: https://t.co/SibeYjcS3p "Assessing gender bias in machine translation: a case study with Google Translate" is finally 'forma…

RT @luislamb: https://t.co/SibeYjcS3p "Assessing gender bias in machine translation: a case study with Google Translate" is finally 'forma…

RT @luislamb: https://t.co/SibeYjcS3p "Assessing gender bias in machine translation: a case study with Google Translate" is finally 'forma…

https://t.co/SibeYjcS3p "Assessing gender bias in machine translation: a case study with Google Translate" is finally 'formally published. with @marceloprates_ #machinetranslation #AIEthics #aibias https://t.co/kVSvQhCOqj

@emilymbender @WWRob @abitidiomatic @nytimes @safiyanoble @ruchowdh @roopikarisam Great point; @emilymbender please note our paper on Assessing Gender Bias in Machine Translation - a case study with Google Translate, one of the first that dealt with this r

RT @luislamb: @Silva @nytimes @EveningStandard https://t.co/AqhyKYlFwQ our paper was one of the first to methodologically contribute toward…

@UW_CSTV @CadeMetz @nytimes https://t.co/AqhyKYlFwQ Our paper was one of the first to methodologically identify this issue and to contribute towards solving this relevant problem.

@Silva @nytimes @EveningStandard https://t.co/AqhyKYlFwQ our paper was one of the first to methodologically contribute towards this relevant issue:

@nytimestech Out paper on “Assessing Gender Bias in Machine Translation - A case study with google translate” was perhaps the first to tackle and identify this relevant issue. Here is the link: https://t.co/AqhyKYlFwQ and the arxiv version from 2018: http

RT @luislamb: @iw_toshiki Please note that our original work on this topic contributes towards tackling this issue: https://t.co/AqhyKYlFwQ

RT @luislamb: @CenDemTech Have a look at our original work in this field: https://t.co/AqhyKYlFwQ

@thepeav Please note that our original research addresses this issue: https://t.co/AqhyKYDgoo

@Karl66078875 Please note that our original research addresses this issue: https://t.co/AqhyKYlFwQ

@albertfong98 @CadeMetz Please note that our original work sheds light in this issue: https://t.co/AqhyKYlFwQ

@ParisFinForum @SpirosMargaris @CadeMetz @nytimes @diioannid @psb_dc @SabineVdL @guzmand @YuHelenYu @TamaraMcCleary Please note our paper on this relevant issue: https://t.co/AqhyKYlFwQ

@iw_toshiki Please note that our original work on this topic contributes towards tackling this issue: https://t.co/AqhyKYlFwQ

@JohnHotta @nytimes Our work sheds light on this topic: https://t.co/AqhyKYlFwQ

@boslibrarian Our work sheds light on this topic: https://t.co/AqhyKYlFwQ

@future_of_AI @peteskomoroch Our work sheds light in this issue https://t.co/AqhyKYlFwQ:

@wblaney Please note that out work tries and answers questions in this issue: https://t.co/AqhyKYlFwQ

@MFordFuture @CadeMetz Our work sheds light in this relevant issue: https://t.co/AqhyKYlFwQ

@AmandaBux We have done work that addresses exactly this topic: https://t.co/AqhyKYlFwQ

@CatMeurn This work sheds light in this topic: https://t.co/AqhyKYlFwQ

@raschneiderman This work shed light in this issue: https://t.co/AqhyKYlFwQ

@mevans14 Indeed; please note this paper on this relevant topic: https://t.co/AqhyKYlFwQ

@HowardAldrich @DanielPAldrich Please notr the following as well; original work in this topic: https://t.co/AqhyKYlFwQ

@CenDemTech Have a look at our original work in this field: https://t.co/AqhyKYlFwQ

@WWRob @nytimes Please also note our work on gender bias in machine translation: https://t.co/AqhyKYlFwQ

RT @luislamb: Our work with @marceloprates_ and Pedro Avelar on Assessing Gender Bias in Machine Translation https://t.co/SibeYjcS3p has be…

Our work with @marceloprates_ and Pedro Avelar on Assessing Gender Bias in Machine Translation https://t.co/SibeYjcS3p has been mentioned by a great article on “Sex and gender analysis improves science and engineering” recently published in @nature https:

RT @luislamb: Just published our article "Assessing gender bias in machine translation: a ca.." with #Springer https://t.co/2M2qCqVZeU via…

Just published our article "Assessing gender bias in machine translation: a ca.." with #Springer https://t.co/2M2qCqVZeU via @SN_Authors

Our paper is now published - "Assessing gender bias in machine translation: a case study with Google Translate", with @marceloprates_ and Pedro Avelar. https://t.co/AqhyKYlFwQ