Semi-Senior

AI Ethics Specialist

Data

An AI Ethics Specialist is responsible for overseeing the ethical considerations associated with the development and deployment of artificial intelligence systems. This role involves analyzing and mitigating the potential risks and biases in AI algorithms, ensuring compliance with regulatory standards, and safeguarding user privacy and data integrity. The specialist works closely with developers, policymakers, and stakeholders to create transparent and accountable AI solutions that align with ethical guidelines. Their expertise is crucial in fostering public trust and promoting the responsible use of AI technologies in various applications.

Responsabilities

An AI Ethics Specialist is tasked with identifying and addressing ethical concerns inherent in AI technologies throughout their lifecycle. This responsibility encompasses thorough analysis and assessment of AI models to detect and mitigate biases, ensuring these systems do not perpetuate unfair treatment or discrimination. They are dedicated to maintaining strict compliance with legal frameworks and industry standards, working proactively to integrate ethical guidelines into AI development processes from the outset. Furthermore, they play a pivotal role in conducting risk assessments, developing strategies to counteract potential adverse impacts, and monitoring AI systems for any ethical lapses during deployment.

In collaboration with cross-functional teams, the AI Ethics Specialist designs and implements transparency and accountability measures, ensuring that AI operations are conducted with clarity and openness. They provide crucial training and guidance to developers and other stakeholders on ethical best practices, fostering an organizational culture that prioritizes responsible AI use. The specialist also engages with policymakers, advocacy groups, and the public to advocate for policies that support ethical AI innovation, improving societal trust in AI solutions. Through continuous oversight and updates to ethical frameworks, they help to align AI applications with evolving societal values and ethical norms.

Recommended studies/certifications

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Skills

Database Design
Data Analysis
Data Cleaning
Machine Learning
Python
SQL
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Tech Stack

R
Power BI
Data Warehousing
SQL
BigQuery
Data Visualization
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Hiring Cost

75000
yearly U.S. wage
36.06
hourly U.S. wage
30000
yearly with Vintti
14.42
hourly with Vintti
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