Ethics and Bias in Artificial Intelligence: Executive Briefing from Pluralsight

In this executive briefing, you'll explore the importance of ethical implementations and how to avoid bias in AI.

More and more organizations are implementing Artificial Intelligence within their processes for hiring, automation, autonomous and predictive devices and many other use-cases. In this course, Ethics and Bias in Artificial Intelligence: Executive Briefing, you'll discover the importance of ethical implementations and how to avoid bias in AI. First, you’ll gain a common understanding on what the wide field of artificial intelligence covers. Then, you'll explore how ethics and bias come into play and what they mean in terms of AI implementations. Finally, you’ll learn the importance of proper policing of AI rules, ideally through transparent measures like open sourcing. When you’re finished with this course, you’ll have the skills and knowledge needed to understand what ethics and bias in artificial intelligence are and how to make sure you’re using AI in an ethical way while avoiding bias.

What's inside

Syllabus

Ethics and Bias in Artificial Intelligence

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops expertise in ethics and bias in artificial intelligence

Relates to artificial intelligence, a topic of increasing importance

Explores bias in artificial intelligence, which is standard in the field

Career center

Learners who complete Ethics and Bias in Artificial Intelligence: Executive Briefing will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists delve into datasets to extract valuable insights and make predictions. Understanding ethics and bias helps build a sound foundation for creating fair and equitable AI algorithms. This understanding is precisely what Ethics and Bias in Artificial Intelligence: Executive Briefing aims to impart. Data Scientists who grasp these concepts can elevate their modeling practices, delivering more inclusive and responsible outcomes.

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Consultant

Consultants assist organizations in improving their operations and efficiency. Ethics and bias are critical considerations when implementing AI into an organization's processes. Ethics and Bias in Artificial Intelligence: Executive Briefing empowers Consultants with the knowledge to advise clients on ethical AI adoption, reducing bias and ensuring responsible implementation.

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Project Manager

Project Managers oversee the execution of projects and ensure their alignment with organizational goals. Understanding ethics and bias in AI is pivotal for successful AI project management. This course lays the groundwork for Project Managers to lead teams in developing and implementing ethical AI solutions, driving innovation while minimizing risks.

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Researcher

Researchers push the boundaries of knowledge through rigorous analysis and experimentation. Ethics and Bias in Artificial Intelligence: Executive Briefing can empower Researchers with the insights to critically examine the ethical implications of their AI research, ensuring the responsible advancement of AI technologies.

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Data Analyst

Data Analysts uncover patterns and insights from data to inform decision-making. By taking Ethics and Bias in Artificial Intelligence: Executive Briefing, Data Analysts can refine their analytical approach by considering ethical implications and biases in AI algorithms, producing more informed and responsible data-driven conclusions.

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AI Engineer

AI Engineers design, develop, and maintain AI systems. The concepts covered in Ethics and Bias in Artificial Intelligence: Executive Briefing are fundamental for AI Engineers to build ethical and unbiased AI solutions. This course enables them to navigate the ethical considerations, mitigate bias, and ensure responsible AI practices throughout the development life cycle.

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Product Manager

Product Managers are responsible for defining and managing product roadmaps and ensuring customer satisfaction. Ethics and Bias in Artificial Intelligence: Executive Briefing is essential for Product Managers who work with AI-powered products, as it equips them with the knowledge to navigate ethical considerations, prioritize fairness, and create products that align with societal values.

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Software Engineer

Software Engineers design, develop, and maintain software systems. While Ethics and Bias in Artificial Intelligence: Executive Briefing may not directly relate to their core software development tasks, it provides valuable insights into the ethical implications of AI, enabling Software Engineers to contribute to the responsible development and deployment of AI-integrated software solutions.

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Business Analyst

Business Analysts bridge the gap between business and technical teams to ensure that software systems meet business needs. Understanding ethics and bias in AI is becoming increasingly important for Business Analysts, as they may encounter AI-driven systems in their work. Ethics and Bias in Artificial Intelligence: Executive Briefing can provide them with a foundation to evaluate and communicate the ethical implications of AI solutions.

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Data Governance Analyst

Data Governance Analysts establish policies and procedures to manage data within an organization. Ethics and Bias in Artificial Intelligence: Executive Briefing may be useful for Data Governance Analysts who work with AI-related data, as it provides insights into the ethical considerations surrounding data collection, storage, and use in AI systems.

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Machine Learning Engineer

Machine Learning Engineers develop, test, and deploy machine learning models. Ethics and Bias in Artificial Intelligence: Executive Briefing may be helpful for Machine Learning Engineers who want to gain a broader understanding of the ethical implications of their work. The course can provide them with insights into mitigating bias and building more ethical and responsible AI models.

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Data Ethics Officer

Data Ethics Officers ensure that an organization's use of data is ethical and compliant with regulations. Ethics and Bias in Artificial Intelligence: Executive Briefing may be useful for Data Ethics Officers who want to stay up-to-date on the latest ethical issues surrounding AI and data usage. The course can provide them with insights into best practices for mitigating bias and ensuring data privacy.

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Cybersecurity Analyst

Cybersecurity Analysts protect computer systems and networks from unauthorized access, use, or damage. Ethics and Bias in Artificial Intelligence: Executive Briefing may be helpful for Cybersecurity Analysts who work with AI-driven security systems, as it provides insights into the ethical considerations surrounding the use of AI in cybersecurity. The course can help them evaluate and mitigate potential biases or vulnerabilities in AI-powered security solutions.

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Policy Analyst

Policy Analysts develop and analyze policies to address public issues. Ethics and Bias in Artificial Intelligence: Executive Briefing may be useful for Policy Analysts who work on AI-related policies, as it provides insights into the ethical considerations and potential societal impacts of AI. The course can help them develop more informed and ethical policy recommendations.

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Technologist

Technologists use their understanding of technology to solve problems and drive innovation. Ethics and Bias in Artificial Intelligence: Executive Briefing may be useful for Technologists who work with AI or plan to do so in the future, as it provides a foundation for understanding the ethical implications of AI and developing responsible AI solutions.

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