Final answer:
In the role of an ethical AI engineer, it is important to clean and sort data while checking for biases, and to stay informed about current vulnerabilities and developments. Ethical considerations of the societal impact of AI and adherence to industry codes of conduct are also critical aspects of the job.
Step-by-step explanation:
The important aspects in the role of an ethical AI engineer include:
- Cleaning and sorting data, and auditing for bias to ensure AI systems operate without perpetuating existing prejudices and harmful stereotypes.
- Keeping up to date with the latest developments and vulnerabilities to protect AI systems against potential threats and ensure they are used in a manner that is safe and benefits society.
An AI engineer must also be aware of the broader ethical implications of their work, such as the potential for job loss, privacy issues, and the need for corporate responsibility. Collaborations across disciplines, including those with social scientists and cognitive scientists, are crucial for understanding and addressing the societal impact of AI technologies. Moreover, ethical AI engineers must uphold the codes of conduct established by organizations like the IEEE-CS, ensuring software adheres to ethical norms concerning safety, privacy, and environmental impact.