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To giveAI - focused womenacademics and others their well - deserve — and overdue — time in the spotlight , TechCrunch is launching aseries of interviewsfocusing on remarkable women who ’ve contributed to the AI revolution . We ’ll release several bit throughout the year as the AI boom continues , highlighting key oeuvre that often get unrecognised . say more profileshere .
Krystal Kauffman worked as an organiser on political and result campaigns for a decade before pursuing a degree in geology . Then , she turned to gig work , which lead her to Turkopticon , a non-profit-making organization dedicated to contend for the rights of gig workers — specifically those usingAmazon ’s Mechanical Turk ( AMT)platform .
Now the lead organizer at Turkopticon , Kauffman recently started as a research fellow with the Distributed AI Research Institute ( DAIR ) Institute , working alongside others to work up — in her password — “ a community of workers united in correct the wrongs of the fully grown - tech market platforms . ”
Q&A
shortly , how did you get your startinAI ? What pull in you to the field ?
In2015 , I became inauspicious , and could n’t work alfresco of my home . While doctor were seek to sort thing out , I establish theAMTplatform . For the next two year , I was able-bodied to keep going myself doing data workinwhich I discharge project that helped programAI , construct LLM and so on . During my sentence make for on AMT , I became very passionate about solving issues with the platform and lease on the ethics of data workingeneral .
What employment are you most proud of ( intheAIfield ) ?
When I first started data work nine years ago , very few people knew that there was a global workforce quietly programming saucy machine , developingAIand build datasets from their homes . Over the last several years , I ’ve speak out about this manpower and the ethical challenges that occur with data oeuvre through interviews , group discussion panels , articles , meeting place , aiding legislators , speaking involution , workshop and societal medium . It ’s an honor to beina positioninwhich I can help train the general public , congressional leaders and proletariat advocates about this work force and all that comes with it .
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How do you pilot the challenges of the male - dominated technical school industry , and , by extension , the male - dominatedAIindustry ?
I consider myself very fortunate because I have a great support system that include my colleagues and mentors . I opt to surround myself with the great unwashed who want to see distaff and non - binary folks succeed . My mentors arewomenand I also attempt advice from supportive men . One matter that has to continue , however , is speaking up about inequity and moving the conversation forward to interchange it .
What advice would you give towomenseeking to go in theAIfield ?
I would narrate any woman wanting to record theAIfield to go for it ! get a good mentor or mentor is so important . Look to the many strongwomenand non - binary folksinthe field for counsel when needed . Forge relationships with supportive man . Lastly , do n’t be afraid to verbalise up . Great ideas come from present some of the heavy questions !
What are some of the most pressing issue facingAIas it evolves ?
One of the most urgent issues face the evolution ofAIis accessibility . Who has approach to the tools ? Who ’s supply the datum and keep up the arrangement ? Who ’s benefiting fromAI ? What population are being left behind and how do we change that ? How are the workers behind the organisation being process ?
The other issue I would bring up here would be bias . How do we make systems completely free from diagonal ?
What are some issuesAIusers should be aware of ?
I would always narrate users to look at how the worker trainingAIare being treated . That ’s an index of so many things .
What is the good way to responsibly buildAI ?
It ’s imperative that we need underrepresented populationsinthe creation ofAI . The hoi polloi who will be touch by the tech should always have a seat at the table . Similarly , the institution ofAIlegislation has to postulate information proletarian . They are the foundation of these systems and to have the discussion without them would be irresponsible .
How can investors better drive for responsibleAI ?
I will just say what I have been enjoin : Nothing is setinstone . We do not have to accept what is being presented to us . The only room things improve is to speak up and act . Look for other organizations promote for responsibleAI . Challenge working conditions , challenge carrying out , usage , etc . Challenge anything that feel unfair or irresponsible .
