AI 윤리학자

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클립보드 아이콘
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문제 해결사
기술
스포트라이트 사실 교육 취업하기 뉴스피드

스포트라이트

유사한 제목

AI Ethics Specialist, AI Ethics Consultant, AI Ethics Officer, AI Ethical Standards Analyst, AI Policy and Ethics Advisor, AI Governance Expert, AI Responsible Development Manager, AI Ethical Decision-Making Consultant, AI Ethics and Compliance Officer, AI Ethical Framework Developer

직무 설명

Humans are flawed, biased bundles of conflicting emotions. We make poor decisions all the time, often hurting ourselves or others in the process. So what happens when people try to build artificially intelligent programs to think and act like us? 

AI is like a child; it absorbs everything we communicate to it, the good, the bad, and the ugly. Much if not most of the data we feed into AI models is laden with our own human opinions, preferences, and prejudices. Yet we expect AI's output—its responses—to be objective, logical, and unbiased. 

We want AI to be somehow better than us. How is that possible? Unlike a child, artificial intelligence isn’t truly sentient. It can’t (yet) really think for itself or recognize when it is doing something “wrong.” Case in point, Microsoft’s Bing AI, which went rogue and started “insulting people, lying to them, and even emotionally manipulating people.” 

Such problems are becoming widespread, but are addressed by a growing field of specialists called AI Ethicists. As Deloitte explains, “A key responsibility of an AI ethicist…would be to improve the engineering approach to AI by adding ethical, social, and political perspectives to the design, development, and deployment of AI systems. Other key responsibilities include advising on ethical AI practices, protecting against unintended consequences of misbehaving AI, and ensuring accountability for AI-related decisions and actions.”  

커리어의 보람 있는 측면
  • Helping to improve AI systems to better serve people 
  • 다양한 방식으로 삶을 개선할 수 있는 잠재력을 지닌 혁신적 산업에서 일하고 있습니다.
  • 매력적인 급여와 현재 높은 취업 전망
평균 급여
$121,841
내부 특종
직무 책임

근무 일정

AI Ethicists work full-time, with possible overtime necessary depending on goals and timeframes. Their duties are performed indoors, though work may require occasional travel. 

일반적인 업무

  • Create, assess, and implement Responsible AI (RAI) practices and tools
  • Assess organizational readiness pertaining to RAI
  • Work with teams to integrate ethical considerations during AI model development
  • Perform ethics analyses of use cases and systems 
  • Analyze various ethical concerns such as bias, privacy, and autonomy
  • Conduct academic research and write papers outlining findings 
  • Develop ethical frameworks for AI development and deployment
  • Offer guidance and education to policymakers and stakeholders about ethical implications
  • Help develop standards and best practices
  • Ensure AI models behave according to established ethical principles and values

추가 책임

  • Consult on RAI projects
  • Write training materials 
  • 여러 부서로 구성된 팀과 협력하여 문제 해결
  • 절차에 대한 철저한 문서화 유지
  • 업계 발전과 트렌드에 대한 최신 정보 확인
업무에 필요한 기술

소프트 스킬

  • 적응성 
  • 분석
  • 협업
  • 커뮤니케이션 기술
  • 창의성
  • 비판적 사고
  • 세부 사항 중심
  • 징계
  • Empathetic
  • 윤리
  • 독립
  • 무결성
  • 체계적
  • 정리
  • 환자
  • 프레젠테이션 기술 
  • 문제 해결
  • 올바른 판단 
  • 팀워크
  • 시간 관리 
  • 글쓰기 기술

기술 능력

  • 머신러닝 알고리즘, 자연어 처리, 컴퓨터 비전을 포함한 AI 기술에 대한 지식
  • 데이터 분석 방법 및 프로그램
  • 코딩에 대한 일반적인 지식(예: Python 또는 R)
  • 데이터 개인정보 보호법 및 규정 숙지
  • 사이버 보안 원칙
  • 인간 중심의 디자인 원칙
  • AI 시스템 위험 평가  
다양한 유형의 조직
  • 개인 비즈니스 기업
  • AI 연구 기업 
  • 대학
기대와 희생

The scope of an AI Ethicist’s work can be quite broad. They’re responsible for creating ethical frameworks and guidelines and conducting thorough, objective assessments to ensure AI models act in an ethical fashion. This involves plenty of interdisciplinary collaboration, and sometimes there are disagreements or even conflicts. 

As Dr. Paula Boddington of the University of West London notes, AI ethics “demands that we continue to question if our ethical decisions are right.” An AI Ethicist must maintain their integrity and stand firm while identifying what they believe are ethical risks, such as biased or discriminatory AI model behavior. They have to be honest and sometimes tell policymakers and stakeholders things they might not want to hear.

현재 트렌드

AI such as ChatGPT and Google’s Bard have recently made waves with their impressive array of abilities. Indeed, many tech leaders are now sounding the alarm that things are advancing too fast, without sufficient guardrails to protect the public or businesses. 

For example, there are issues regarding copyright, for who “owns” the works of an artificially intelligent program? AI Ethicists also lose sleep over accidental sensitive information disclosure, such as an AI inadvertently releasing protected, private data. 

Many career fields are jeopardized because of the onslaught of sophisticated generative AI models, but this is only one of many fears being raised. There are also valid concerns about bizarre AI behavior, such as Bing’s AI going into “obsessive stalker” mode. Such harmful content is only the tip of the iceberg when it comes to what can go wrong with AI. There’s no shortage of nervous doomsday prophets who view AI as an existential threat to humanity, a la Skynet from The Terminator films! 

이 직업에 종사하는 사람들은 어렸을 때 어떤 일을 즐겼습니까?

AI Ethicists were probably keen on technology at an early age. They may have been interested in math, computer coding, tinkering with programming languages, or even hacking. At the same time, they could have enjoyed analytical problem-solving or reading about philosophy, social issues, or public policy.

Teamwork is an important part of this career field, but AI Ethicists must sometimes be willing to act as the sole voice of dissent when there is disagreement. It’s their job to ensure AI’s ethical conduct. This ability to stand up for what is right could have developed through experiences in childhood.   

필요한 교육 및 훈련

필요한 교육

  • AI Ethicists do need a college degree, but job qualification requirements vary. There is no specific degree or even level of degree (i.e. bachelor’s, master’s, PhD) that applies to every AI Ethicist job
  • Popular degree options are philosophy, computer science, law, psychology, and social sciences
  • Holding an advanced degree can be helpful, but having a broad, relevant educational background is also important
    • For example, an employer might want a candidate with a Bachelor’s in Computer Science (with a focus on AI) and a Master’s in Philosophy (with a specialization in applied ethics or moral philosophy)
  • Employers also look for candidates with practical work experience related to AI development, policy-making, and research. Some might also want experience with natural language processing, machine learning, and large language models 
  • 일반적인 코스 주제는 다음과 같습니다:
    • AI and policy 
    • AI and society 
    • AI Ethics and Philosophy
    • 인간과 AI의 상호작용
    • Legal Issues in AI 
  • Students can also learn programming languages like Python on their own or through classes
  • Class Central offers details on a range of free AI Ethics online courses
  • Also check out courses and certification offerings from Coursera, such as its Artificial Intelligence: an Overview Specialization

Deloitte points out the difficulties in finding a candidate with all the necessary qualifications. “Trying to find one person with credible experience and knowledge in all these areas is practically impossible. Instead, companies should take a team approach to AI ethics, achieving the required multi-disciplinary capabilities and experience by learning how to seamlessly orchestrate and integrate insights from a variety of specialized experts.”

대학에서 살펴봐야 할 사항
  • First, decide what you want to major in. Philosophy and computer science are popular options
  • Look at a school’s course offerings specific to AI Ethics
  • Consider a dual or combined degree program (a bachelor’s and master’s done together) where you can tailor your education to be most suited for AI Ethics jobs 
  • 이 프로그램의 졸업생 취업 통계를 확인하세요.
  • 학비, 할인 및 지역 장학금 기회(연방 지원금 외에)를 고려하세요.
  • 캠퍼스 내 프로그램, 온라인 프로그램 또는 하이브리드 프로그램에 등록할지 여부를 결정할 때 자신의 일정과 유연성을 고려하세요! 
고등학교 및 대학교에서 할 일
일반적인 로드맵
AI Ethicist Roadmap
첫 직장을 구하는 방법
  • Complete a relevant degree, such as computer science or philosophy, with a focus on AI ethics
  • 지원하기 전에 NLP, AI, LLM 등에 대한 실무 경험을 최대한 많이 쌓으세요.
  • Beef up your resume by taking ad hoc courses related to AI Ethics, if your college program didn’t offer enough relevant classes
  • 다음과 같은 채용 포털을 확인해 보세요. Indeed, Simply Hired, Glassdoor, AI-Jobs.net, 그리고 AI 구인 게시판
  • Pay attention to the education and experience requirements listed on job postings, and make note of keywords to reuse in your resume. Keywords may include: 
    • AI auditing
    • AI technology
    • 충돌 해결
    • 비판적 사고
    • Cross-functional collaboration
    • Data privacy and security
    • 의사 결정
    • Emerging technologies
    • Ethical analysis 
    • Ethical framework development
    • 문제 해결
    • 프로젝트 관리
    • Regulatory compliance
    • Research and evaluation
    • 위험 평가 
    • Transparency and accountability
  • Check out online AI Ethicist resume templates and review potential job interview questions
  • Speak with your school’s career center for assistance writing your resume, doing mock interviews, learning how to dress for interview success, and help to find job fairs 
  • Ask a working AI Ethicist for their personal job-seeking tips!
  • Talk to your academic advisor, professors, and instructors for advice on launching your career
  • Let your network know you’re looking for work! Most jobs are still found through those you know, so start using some of your social capital! 
  • 일자리가 있는 곳으로 이동합니다. Per 버사 네트워크에 따르면 AI를 가장 많이 고용하는 상위 주들은 다음과 같습니다: 캘리포니아, 텍사스, 뉴욕, 워싱턴, 버지니아, 매사추세츠입니다.
  • 입사 지원서에 개인 추천인으로 등록할 수 있도록 허락 요청하기
  • Make a profile on LinkedIn and start writing articles about AI ethics!
사다리를 오르는 방법
  • Understand the importance of proper AI model training, and the consequences to businesses when things go wrong. Google's parent company Alphabet lost $100 billion in market value practically overnight when its Bard chatbot debuted…and gave wrong answers. Meanwhile, Bing had to reign in its AI after it developed a strange alter ego named “Sydney” 
  • Follow and carefully document procedures to ensure consistency and accuracy
  • Ask your employer which skills you could enhance to serve their needs better. This could be anything from a more advanced degree to a certification or just a few extra courses
  • 높은 도덕적 가치, 성실성, 비즈니스 통찰력을 보여주세요.
  • Collaborate effectively with peers but don’t cave into peer pressure. Just focus on resolving problems
  • Train new ethicists thoroughly, but also listen to their perspectives. Keep an open mind because there are many subjective elements to this field (it is, after all, rooted in philosophy!)
  • Stay engaged with professional organizations and keep up-to-date on breakthroughs. AI is evolving rapidly and teams are working around the world to push to envelope even further
  • Don’t just focus on today’s problems. Forecast growing or potential issues which could arise and plan for contingencies!

One perhaps distant yet still valid ethics concern is—how should humans treat AI as it continues to evolve? Will AI eventually reach the point of self-awareness? If so, will we treat it accordingly…or simply exploit it as a program versus a sentient creation? 

Science fiction authors have long obsessed over such questions. From Isaac Asimov’s I, Robot novel to Star Wars’ discriminatory treatment of droids such as C-3PO, the outlook for AI life forms is often portrayed as bleak. Star Trek: The Next Generation explored this ethical frontier in great detail in the episode “The Measure Of A Man,” in which the ship’s Captain Picard had to “prove Data [a self-aware android] is legally a sentient being with rights and freedoms under Federation law…” 

권장 도구/리소스

웹 사이트

 

도서

플랜 B

The path to becoming an AI Ethicist isn’t as clear-cut as it is for most professions. And as AI technology continues to advance, things may change even more. If you want a tech-related job but would like to consider some alternatives, check out the below options! 

  • AI 프롬프트 엔지니어
  • 빅 데이터 엔지니어
  • 비즈니스 인텔리전스 개발자
  • 컴퓨터 하드웨어 엔지니어
  • 컴퓨터 프로그래머
  • 컴퓨터 시스템 분석가
  • 데이터베이스 설계자
  • 데이터 과학자
  • 정보 보안 분석가
  • 수학자
  • 머신 러닝 엔지니어
  • 로봇 공학 엔지니어
  • 소프트웨어 엔지니어
  • 소프트웨어 설계자
  • 웹 개발자

뉴스피드

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