Artificial intelligence ethicists are responsible for ensuring that AI is developed and used in an ethical and responsible manner. Their job is to ensure that AI systems respect human values of justice, fairness and freedom. Working with developers and engineers, the AI ethicist helps to design algorithmic systems that incorporate strict ethical standards.
In addition to their technical tasks, AI ethicists help to draw up ethical policies, train teams in the issues surrounding the ethics of AI and raise awareness of data confidentiality, neutrality and diversity.
The AI ethicist masters the principles, technologies and applications of artificial intelligence, machine learning and natural language processing. They are comfortable with the ethical theories, frameworks and principles applicable to AI. In-depth knowledge of regulations and laws relating to data protection, confidentiality and human rights is fundamental.
The ethicist identifies, assesses and mitigates the ethical risks associated with AI projects using analytical methods ( ethical impacts, scenario analysis, and algorithmic audits ). They have project management skills to integrate their ethical perspective into all phases of the AI project lifecycle.
AI ethicists have excellent communication and listening skills. They are able to explain more or less complex AI concepts in layman's terms and raise awareness of ethical issues among specialists (technicians, lawyers). They know how to work in a team and manage conflict situations constructively. They have a strong ethical awareness and a commitment to social justice. This enables them to defend values and make informed decisions.
Critical thinking is at the heart of ethics: asking questions, questioning answers and exploring new avenues of thought are all part of daily practice. This professional uses empathy to understand different perspectives and ensure inclusive and respectful solutions.
To become an AI ethicist, it is advisable to take a 5-year degree in law, philosophy or computer science. Qualifications at Bac+7 level (doctoral students) are appreciated by recruiters. A number of university courses provide an understanding of the ethical challenges posed by AI systems, with programmes focusing on artificial intelligence, machine learning and the foundations and applications of AI.
AI ethicists often combine a background in law or philosophy with a technical specialisation in artificial intelligence. For example, after a bachelor's degree in computer science (Bac+3), they go on to do a master's degree in AI or big data. Additional training in law and ethics enables them to master the legal and societal aspects.
Beyond their technical skills, AI ethicists have an ethical conscience and a commitment to social justice. Ongoing training and active monitoring of research and developments in artificial intelligence and machine learning are essential to keep abreast of this constantly evolving field.
The AI ethicist can become Head of Compliance and Ethics, or progress to the position of Director of AI Ethics at group level, overseeing ethical practices in several countries. Becoming an AI Ethics Expert, either within a specialist agency or as a freelancer, enables you to guide various organisations in adopting advanced ethical practices.
Finally, an academic career as a Lecturer and Researcher in AI Ethics is another way of contributing to the training of future generations of ethicists and conducting research into the ethical issues associated with artificial intelligence.