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To giveAI - focused womenacademics and others their well - deserved — and overdue — time in the spotlight , TechCrunch is launching aseries of interviewsfocusing on remarkable women who ’ve contribute to the AI revolution . We ’ll publish several objet d’art throughout the year as the AI boom remain , spotlight key piece of work that often goes unrecognised . record more profileshere .

Eva Maydell is a Bulgarian politician and a extremity of European Parliament . First elect to Parliament in 2014 at age 28 , she was the youngest member answer at the time . In 2019 , Maydell was re - elect to Parliament , where she keep to serve on the Committee on Economic and Monetary Affairs and on the Committee on Industry , Research and Energy ( ITRE ) .

Maydell was the ITRE rapporteur for the EU AI Act , the proposed effectual framework to govern the sale and use of AI in the European Union , and as such was in rush of drafting a report on the marriage proposal of the European Commission — reflecting the vox populi of ITRE members . Maydell — in consultation with international experts and stakeholders — was also responsible for draught via media amendments .

Q&A

shortly , how did you get your start in AI ? What attracted you to the line of business ?

When I first became a penis of the European Parliament , I was one of the few young distaff members of European Parliament ( MEPs ) that worked on technical school issues . I ’ve always been passionate about how Europe can better leverage the vast opportunities of tech design . The great thing about work on tech is that you ’re always looking to the future . Having worked on cybersecurity , semiconductors and the digital agenda throughout my fourth dimension in the Parliament , I knew I would receive work on the AI Act fabulously interesting and be able to utilise my experience in those sphere on this human race - first part of ordinance .

What oeuvre are you most proud of in the AI area ?

I ’m lofty of the work we ’ve done on the AI Act . We have lay out a vulgar European imagination for the future of this technology — one in which AI is more democratic , good and innovative . Regulators and Parliaments of course recall about how to protect and prepare for unsound - case scenarios and the peril ; but I also push hard for competitiveness to be at the heart of this conversation . This include championing a inquiry and open source exemption , an ambitious coming to regulatory sandboxes and aligning our study with our international partners as much as possible to trim down market detrition .

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How do you sail the challenges of the male - prevail technical school industry , and , by extension , the male person - dominated AI diligence ?

We ’re slowly but surely view more womanhood in tech and AI . I have female colleague and friend that work in tech who are improbably talented and really aim the tech schedule . It ’s great that we have that web to support each other . I have also found that I have been hug by the AI community and it ’s what make work on this issue so interesting and enjoyable .

What advice would you give to women seeking to enter the AI field ?

Just go for it ! Be yourself , do n’t conceive you have to stick to the mold or be like other people . Everyone has something unique to propose . The more woman keep portion out their idea , visions and interpreter , the more they will inspire other woman to maltreat into the world of technical school . Whenever I speak with student groups , or young MEPs , it ’s wonderful to see so many women interested in entering this airfield — you’re able to find the change taking billet .

What are some of the most urgent subject facing AI as it evolves ?

The greatest challenge for any politician working on tech and AI is trying to regularize and ready for the future with truth . Despite all the fact , figure and research , there ’s a certain element of look into a “ quartz glass ball . ” The big issue politicians will need to address are :

Firstly , how can this engineering make our economies more competitive while ensuring wide-cut societal welfare ? Secondly , how do we stop AI fueling disinformation ? And thirdly , how do we dress international rules to ensure AI is acquire and utilize harmonize to popular standards ?

What are some issues AI exploiter should be mindful of ?

The very serious challenge posed by AI as a vehicle to accelerate the feast of disinformation and deepfakes . This is especially important this year , grant 50 % of the man will go to the pate to vote . We all need to use a critical eye on the picture , videos and newsworthiness articles we see . As the technology improves , we need to become more wakeful to being manipulate . This is an issue I ’m working on extensively decent now .

What is the sound mode to responsibly build AI ?

If we want a future in which AI improve our lives and avail solve our most pressing challenge , then there ’s one central ingredient : trust . We require faith in these technology .

We ca n’t afford to rest on our laurels . The AI Act does n’t mean we ’re “ one and done . ” We need to keep postulate ourselves what ’s next — and that does n’t necessarily have in mind more rule . But it does intend keeping a constant eye on the big picture — how AI and the regularisation is impress our economy , security and living .

How can investors good push for creditworthy AI ?

Investing in AI or any innovative engineering science is no different [ than ] invest in any other product . Businesses , banks and corporations are cognisant of the fact that there are pregnant fiscal merit on being a positive force-out in the world around us . Ultimately , scaling AI in a creditworthy way is more potential to substantiate succeeder , reduce fiscal peril and failures , and therefore , create consumer and market confidence .