Spotlights
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
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.”
- Helping to improve AI systems to better serve people
- Làm việc trong một ngành công nghiệp biến đổi có tiềm năng cải thiện cuộc sống theo nhiều cách
- Lucrative salaries and currently strong job prospects
Lịch làm việc
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.
Nhiệm vụ tiêu biểu
- 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
Trách nhiệm bổ sung
- Consult on RAI projects
- Write training materials
- Work with cross-functional teams to solve problems
- Duy trì tài liệu kỹ lưỡng về các thủ tục
- Luôn cập nhật những tiến bộ và xu hướng trong ngành
Kỹ năng mềm
- Khả năng thích ứng
- Phân tích
- Hợp tác
- Kỹ năng giao tiếp
- Sáng tạo
- Tư duy phản biện
- Định hướng chi tiết
- Kỷ luật
- Empathetic
- Đạo đức
- Độc lập
- Tính toàn vẹn
- Phương pháp
- Tổ chức
- Kiên nhẫn
- Kỹ năng thuyết trình
- Giải quyết vấn đề
- Phán đoán đúng đắn
- Làm việc theo nhóm
- Quản lý thời gian
- Kỹ năng viết
Kỹ năng kỹ thuật
- Kiến thức về công nghệ AI, bao gồm thuật toán học máy, xử lý ngôn ngữ tự nhiên và thị giác máy tính
- Phương pháp và chương trình phân tích dữ liệu
- Kiến thức chung về mã hóa (chẳng hạn như Python hoặc R)
- Quen thuộc với các luật và quy định về quyền riêng tư dữ liệu
- Nguyên tắc an ninh mạng
- Nguyên tắc thiết kế lấy con người làm trung tâm
- Đánh giá rủi ro hệ thống AI
- Doanh nghiệp tư nhân
- Công ty nghiên cứu AI
- Trường đại học
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.
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!
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.
Giáo dục cần thiết
- 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
- Common course topics include:
- AI and policy
- AI and society
- AI Ethics and Philosophy
- Human-AI Interaction
- 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.”
- 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
- Kiểm tra số liệu thống kê vị trí việc làm của chương trình cho sinh viên tốt nghiệp
- Xem xét chi phí học phí, chiết khấu và các cơ hội học bổng địa phương (ngoài viện trợ liên bang)
- Hãy suy nghĩ về lịch trình và sự linh hoạt của bạn khi quyết định đăng ký vào một chương trình trong khuôn viên trường, trực tuyến hay kết hợp!
- Sign up for computer science, programming, English, writing, debate, rhetoric, philosophy, business law, social sciences, and public policies classes
- Find ways to build skills in teamwork, project management, problem-solving, and conflict resolution
- Tham gia các khóa học trực tuyến liên quan đến AI từ Coursera, Udemy, Microsoft, DeepLearning.AI và các trang web khác
- Gain real-world experience via part-time jobs related to NLP, ML, LLMs, and/or programming
- Bắt đầu tạo sơ yếu lý lịch của bạn và thêm vào nó khi bạn học hỏi và tích lũy kinh nghiệm làm việc
- Review job postings in advance to see what the average requirements are. AI Ethicist jobs may not all feature the same educational requirements
- Request to do an informational interview with a working AI Ethicist. Ask about their educational path and what they might have done differently
- Lập danh sách các địa chỉ liên hệ của bạn (bao gồm địa chỉ email hoặc số điện thoại), những người có thể đóng vai trò là tài liệu tham khảo công việc trong tương lai
- Read books and articles, and watch videos about current AI Ethics challenges
- Tham gia các cuộc tranh luận và thảo luận trên diễn đàn trực tuyến. Tạo kết nối và xây dựng vốn xã hội trong cộng đồng AI
- Tham gia với các tổ chức chuyên nghiệp để học hỏi, chia sẻ, kết bạn và phát triển mạng lưới của bạn. Các tổ chức để xem xét tham gia có thể bao gồm:
- Viện AI Now
- Hiệp hội chuyên gia AI
- Association for Computational Linguistics
- Hiệp hội máy tính
- Hiệp hội Công nghệ Người tiêu dùng
- European Association for Artificial Intelligence
- IEEE
- Hiệp hội quốc tế về nhận dạng mẫu
- Viện nghiên cứu trí tuệ máy móc
- OpenAI
- Quan hệ đối tác về AI
- Hiệp hội các ngành công nghiệp robot
- Hiệp hội mạng nơ-ron quốc tế
- Complete a relevant degree, such as computer science or philosophy, with a focus on AI ethics
- Get as much practical hands-on experience in NLP, AI, LLMs, etc. as you can before applying
- Beef up your resume by taking ad hoc courses related to AI Ethics, if your college program didn’t offer enough relevant classes
- Kiểm tra các cổng thông tin việc làm như Indeed, Simply Hired, Glassdoor, AI-Jobs.net và The AI Job Board
- 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
- Giải quyết xung đột
- Tư duy phản biện
- Cross-functional collaboration
- Data privacy and security
- Quyết định
- Emerging technologies
- Ethical analysis
- Ethical framework development
- Giải quyết vấn đề
- Quản lý dự án
- Regulatory compliance
- Research and evaluation
- Đánh giá rủi ro
- 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!
- Di dời đến nơi có công việc. Theo Versa Networks, các tiểu bang hàng đầu tuyển dụng nhiều nhất về AI là: California, Texas, New York, Washington, Virginia và Massachusetts
- Xin phép liệt kê ai đó làm tài liệu tham khảo cá nhân trong đơn xin việc của bạn
- Make a profile on LinkedIn and start writing articles about AI ethics!
- 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
- Thể hiện các giá trị đạo đức cao, liêm chính và nhạy bén trong kinh doanh
- 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…”
Trang web
- Accenture
- Access Now
- ACM
- Ada Lovelace Institute
- ADAPT
- AI4ALL
- AI Ethicisting Institute
- Viện AI Now
- Hiệp hội chuyên gia AI
- Anch.AI
- Algorithmic Justice League
- Alan Turing Institute
- AlgorithmWatch
- Allen Institute for AI
- Association for Computational Linguistics
- Hiệp hội máy tính
- Hiệp hội vì sự tiến bộ của trí tuệ nhân tạo
- Atomium
- Baidu, Inc.
- Bard
- Berkeley Center for Law & Technology
- Bing AI
- Cambridge Data Centre for Data-Driven Discovery
- Center for AI and Digital Policy
- Center for Critical Race + Digital Studies
- Center for Data Innovation
- Center for Human-Compatible AI
- Center for Humane Technology
- Center for Information Technology Policy
- Centre for Internet & Society
- Centre for the Study of Existential Risk
- Civil Infrastructure Platform
- Hiệp hội Công nghệ Người tiêu dùng
- Council for Big Data, Ethics, and Society
- Coursera
- DARPA
- DataEthics
- Data Justice Lab
- DeepLearning.AI
- Electronic Frontier Foundation
- EthicsNet
- European Association for Artificial Intelligence
- Fast.ai
- FTC- Office of Technology Research and Investigation
- Future of Humanity Institute
- Future of Life Institute
- Future of Privacy Forum
- Future Society
- Global Catastrophic Risk Institute
- GENIA
- Governance Lab
- IEEE
- IEET - Institute for Ethics and Emerging Technologies
- IFTF - Institute for the Future
- Institute for Ethical AI & Machine Learning
- Hiệp hội quốc tế về nhận dạng mẫu
- Hiệp hội mạng nơ-ron quốc tế
- Tìm hiểu Nhắc nhở
- Leverhulme Centre for the Future of Intelligence
- Viện nghiên cứu trí tuệ máy móc
- Công ty Microsoft
- MIT-CSAIL Computer Science & Artificial Intelligence Lab
- Nesta
- NIST
- National Security Commission on Artificial Intelligence
- OECD.AI Policy Observatory
- OpenAI
- Open Data Institute
- Quan hệ đối tác về AI
- PERVADE at the University of Maryland
- Privacy International
- ProPublica
- PwC
- RightsCon
- Hiệp hội các ngành công nghiệp robot
- Salesforce - Einstein AI
- Software.org
- Stanford University HAI
- Tech Policy Lab
- Udemy
- UNICRI Centre for Artificial Intelligence and Robotics
- World Economic Forum
Sách vở
- AI Ethics (The MIT Press Essential Knowledge series), by Mark Coeckelbergh
- Ethics of Artificial Intelligence, by S. Matthew Liao
- Oxford Handbook of Ethics of AI, by Markus Dubber, Frank Pasquale, and Sunit Das
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 Prompt Engineer
- Kỹ sư dữ liệu lớn
- Nhà phát triển Business Intelligence
- Kỹ sư phần cứng máy tính
- Lập trình viên máy tính
- Chuyên viên phân tích hệ thống máy tính
- Kiến trúc sư cơ sở dữ liệu
- Nhà khoa học dữ liệu
- Chuyên viên Phân tích An toàn Thông tin
- Mathematician
- Machine Learning Engineer
- Kỹ sư robot
- Kỹ sư phần mềm
- Kiến trúc sư phần mềm
- Nhà phát triển web