Four AI job titles which look set to play pivotal roles in the coming years

Four AI job titles which look set to play pivotal roles in the coming years.

1 | AI ethicist

With the increasing integration of AI into various aspects of our lives, the need for responsible and ethical AI improvement has increased even more. AI ethicists are the guardians of this obligation, making sure that AI technologies are designed, developed, and deployed in a manner that upholds moral ideas and considers the societal impact.

Responsibilities | Examine AI systems for bias, broaden ethical frameworks, advise businesses on responsible AI practices, and engage in public conversations on AI ethics.

Skills | A strong knowledge of ethical principles, understanding of AI technology, communication and critical thinking capabilities, and a background in philosophy, regulation, or social sciences are beneficial.

2 | AI trainer or AI engineer

AI algorithms, much like humans, require continuous training for better inferencing. AI engineers are the ones responsible for continuously training the AI models with relevant data and instructions for continuous upgrades.

3 | AI interaction designer

With AI-powered applications and devices becoming more prevalent, the necessity of seamless and intuitive human-computer interaction has increased.

AI interaction designers bridge the distance between AI technology and their user interaction, creating user friendly interfaces and experiences.

Responsibilities | Design conversational interfaces for chatbots and digital assistants, develop consumer-focused frontend for AI products, and perform A/B testing to understand user needs and preferences.

4 | AI safety engineer

Ensuring the safety and security of AI systems is of utmost significance. AI safety engineers are required to ensure that.

Responsibilities | Perform risk assessments of AI systems, develop safety protocols and mitigation techniques, put in place security features to defend AI systems from cyber threats, and stay up to date on the latest research on AI safety.

Skills | A strong understanding of cybersecurity ideas, knowledge of AI algorithms and architectures, experience with cybersecurity testing and vulnerability assessment, along with problem solving and analytical skill sets are essential.

Courtesy:

Sukanya Mandal is a member of IEEE, the world’s largest technical professional organisation.

More articles and advice from the author:

Interview with Sukanya Mandal: Developing a cognitive digital twin framework for smart cities - ΑΙhub (aihub.org)

How AI is Enabling a Fast-paced Healthcare Sector - What to Expect in the Coming Years (siliconindia.com)