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To giveAI - focused womenacademics and others their well - merit — and overdue — time in the spotlight , TechCrunch is launching aseries of interviewsfocusing on noteworthy char who ’ve contributed to the AI revolution . We ’ll release several piece throughout the twelvemonth as the AI godsend go on , highlight key work that often goes unrecognised . Read more profileshere .
BrandieNonnecke is the founding director of the CITRIS Policy Lab , headquartered at UC Berkeley , which plunk for interdisciplinary research to call questions around the role of ordinance in promoting excogitation . Nonnecke also co - steer the Berkeley Center for Law and Technology , where she direct project on AI , platforms and society , and the UC Berkeley AI Policy Hub , an initiative to train researchers to develop effective AI government and insurance frameworks .
In her bare time , Nonnecke host a video and podcast series , TecHype , that analyze emerging tech policies , regulations and laws , cater insights into the benefit and risks and key out strategies to harness tech for just .
Q&A
in short , how did you get your scratch line in AI ? What attracted you to the field ?
I ’ve been working in creditworthy AI governance for nearly a tenner . My training in technology , public policy and their point of intersection with societal impacts drew me into the field . AI is already permeant and deeply impactful in our lives — for better and for worse . It ’s of import to me to meaningfully put up to society ’s power to harness this technology for good rather than stand on the sidelines .
What work are you most proud of ( in the AI field ) ?
I ’m really proud of two things we ’ve attain . First , The University of California was the first university to establish responsible for AI principle and a governance complex body part to better ensure responsible for procurance and usance of AI . We take our committedness to dish up the populace in a creditworthy manner badly . I had the honor of carbon monoxide - lead the UC Presidential Working Group on AI and its subsequent permanent AI Council . In these office , I ’ve been able to gain firsthand experience thinking through how to best operationalize our responsible for AI principles in parliamentary law to safeguard our faculty , staff , students and the broad residential district we attend . Second , I think it ’s decisive that the populace understand emerge technology and their real benefits and hazard . We launched TecHype , a video and podcast series that demystifies emerge engineering and provides steering on efficient technical and policy interventions .
Join us at TechCrunch Sessions: AI
Exhibit at TechCrunch Sessions: AI
How do you voyage the challenges of the male person - dominated technical school industry , and , by elongation , the male person - dominate AI industry ?
Be singular , unyielding and undeterred by imposter syndrome . I ’ve found it crucial to seek out mentors who abide diverseness and inclusion , and to offer the same support to others entering the theatre of operations . Building inclusive communities in technical school has been a powerful direction to share experience , advice and encouragement .
What advice would you give to women seek to enter the AI field ?
For women entering the AI playing area , my advice is threefold : attempt knowledge relentlessly , as AI is a apace evolving field . Embrace networking , as connections will open door to opportunities and offer invaluable support . And preach for yourself and others , as your voice is indispensable in mould an inclusive , just future for AI . Remember , your singular perspectives and experience enrich the field of view and labour innovation .
What are some of the most pressing way out facing AI as it evolves ?
I trust one of the most pressing progeny face AI as it germinate is to not get hang up on the latest hype cycles/second . We ’re seeing this now with generative AI . Sure , reproductive AI face significant advancements and will have tremendous shock — good and bad . But other forms of machine acquisition are in use today that are sneakily making decision that directly affect everyone ’s ability to exercise their rights . Rather than focus on the latest marvel of auto learning , it ’s more important that we focus on how and where political machine learning is being applied disregardless of its technical prowess .
What are some issues AI user should be aware of ?
AI user should be aware of issues related to information secrecy and security , the potential difference for bias in AI decision - devising and the grandness of transparence in how AI system operate and make decisions . Understanding these issues can empower drug user to need more accountable and equitable AI arrangement .
What is the best way to responsibly build up AI ?
Responsibly building AI call for integrating ethical considerations at every leg of development and deployment . This include diverse stakeholder engagement , cobwebby methodological analysis , preconception management strategies and on-going impact assessment . Prioritizing the public commodity and see AI engineering are develop with human rights , fairness and inclusivity at their core are fundamental .
How can investors better bear on for responsible AI ?
This is such an of import question ! For a foresightful prison term we never expressly talk about the role of investors . I can not state enough how impactful investor are ! I trust the trope that “ regulation knee invention ” is overused and is often false . rather , I firmly conceive smaller firm can experience a belated - mover reward and learn from the declamatory AI companies that have been break responsible AI exercise and the guidance emerging from academe , civic society and government . Investors have the power to shape the manufacture ’s direction by making responsible AI practice a decisive factor in their investing decisions . This let in stick out initiatives that focalise on addressing social challenges through AI , elevate diversity and inclusion within the AI workforce and advocating for strong governing body and technical strategies that help to control AI applied science welfare smart set as a whole .
