Meredith Broussard

Meredith Broussard farfesa ce ta aikin jarida a Cibiyar Jarida ta Arthur L. Carter a Jami'ar New York .  Binciken ta yana mai da hankali kan rawar da hankali na wucin gadi ke takawa a aikin jarida.

 Ayyuka 
Broussard a baya ya kasance editan fasali a The Philadelphia Inquirer, kuma mai haɓaka software a AT&T Bell Labs da MIT Media Lab. Broussard ya wallafa fasalulluka da litattafai a cikin shafuka da yawa ciki har da The Atlantic, Harper's Magazine, da Slate Magazine. Ita ce marubucin littattafan da ba na almara ba Artificial Unintelligence: Yadda Kwamfutoci suka Misunderstand the World  name=":0"> da More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech . 

A matsayinta na aboki a Cibiyar Tow don Jarida ta Dijital a Makarantar Jarida ta Jami'ar Columbia, ta gina Bailiwick, kayan aiki da aka tsara don gano labaran kudi na yakin neman zabe, wanda aka kirkira don Zaben shugaban Amurka na 2016.

A halin yanzu, Broussard mataimakin farfesa ne a Cibiyar Nazarin Jarida ta Arthur L. Carter ta Jami'ar New York, darektan bincike na NYU Alliance for Public Interest Technology, kuma memba ne na kwamitin ba da shawara na Cibiyar Nazari ta Kwarewa da Nazarin Dijital.

Broussard ta bayyana a matsayin kanta a cikin shirin Netflix na 2020, Coded Bias, wanda ke bin masu bincike da masu ba da shawara yayin da suke bincika yadda algorithms ke tsarawa da yada nuna bambanci. An yi mata tambayoyi a kan batutuwa da yawa, gami da nuna bambanci na algorithmic, don kafofin watsa labarai da yawa, ciki har da The Verge, Los Angeles Times, The New York Times, da Harvard Magazine.Chen, Angela (2018-05-23). "How computers misunderstand the world". The Verge. Retrieved 2021-09-25.

 Littattafai 
Broussard ya wallafa littattafai masu yawa da ke nazarin haɗakar fasaha da aikin zamantakewa. Littafinta Artificial Unintelligence: How Computers Misunderstand the World, wanda aka buga a watan Afrilu na 2018 ta MIT Press, yayi nazarin iyakokin fasaha wajen warware matsalolin zamantakewa. Littafinta More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech an buga shi a watan Maris na shekara ta 2023. An bayyana ta a cikin Sadarwar ACM  kuma Christopher Mims na The Wall Street Journal ya ambata ta a matsayin gwani a nan gaba na fasahar mota mai sarrafa kansa.  Sauran wallafe-wallafen da ayyukanta sun hada da:

 "Fasahar da ta lalace ta cutar da Dimokuradiyya" 
 "Ƙalubalen adanawa da adana aikace-aikacen labarai na dijital" 
 "Yadda za a yi tunani game da Bots" 
 "Sabon Bayanan Airbnb ya bayyana Wasu Masu Baƙi suna Rashin Kasuwanci a cikin Big Bucks" 
 "The Irony of Writing Online About Digital Preservation" 
 "The Secret Lives of Hackathon Junkies" 
 "Lokacin da 'yan sanda ke bincika Facebook" 
 "Babban Bayanai a Aiki: Bayar da Jarida ta Kwamfuta Ta hanyar Rarraba Code da Hanyar Bincike Mai Sauyawa" 
 "Tsaron Aikace-aikacen Labarai Yana gabatar da Ƙalubalen Ƙari".
 "Me ya sa Makarantu Masu Talakawa Ba Za su Iya Ciniki a Gwajin Daidaitawa ba" 
 "Leken Asiri na Artisal don Rahoton Bincike" 

 Zaɓaɓɓun wallafe-wallafen ilimi 

 [Inda Aka Ɗauko Hoto da ke shafi na 9] "Binciken basira don bayar da rahoto na bincike: Amfani da tsarin gwani don inganta ikon 'yan jarida don gano labarun al'amuran jama'a na asali. " Jarida ta dijital 3.6 (2015): 814-831.
 Broussard, Meredith, et al. "Halitta da aikin jarida." Jarida &amp; Sadarwar Jama'a Quarterly 96.3 (2019): 673-695.
 Boss, Katherine, da Meredith Broussard. "Ƙalubalen adanawa da adana aikace-aikacen labarai na dijital. " IFLA mujallar 43.2 (2017): 150-157.
 [Inda Aka Ɗauko Hoto da ke shafi na 9] "Babban Bayanai a Aiki: Bayar da aikin jarida ta lissafi ta hanyar raba lambar da hanyoyin bincike masu sakewa. " Jarida ta dijital 4.2 (2016): 266-279.
 [Inda Aka Ɗauko Hoto da ke shafi na 9] "Koyar da lambar a makarantun aikin jarida: Tunanin ingantaccen kayan aikin fasaha. " Computation + Journalism 2015 Conference. 2015.

 Manazarta 

Rukuni:Rayayyun mutane