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Ethics and Bias in Artificial Intelligence

Executive Briefing

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.

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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

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Ethics and Bias in Artificial Intelligence: Executive Briefing with these activities:

Compile a resource library of AI articles and videos

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Create a centralized repository of valuable resources that will support your learning journey in AI.

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Identify and gather relevant articles, videos, and other resources on AI
Organize the resources into a structured and accessible format
Share the resource library with your classmates or colleagues

Review Concepts of AI

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Refresh your understanding of fundamental AI concepts, such as machine learning, natural language processing, and computer vision, to strengthen your foundation for this course.

Browse courses on Artificial Intelligence

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Read through your notes and textbooks from previous AI courses.
Take practice quizzes or complete online assessments to test your knowledge.

Review probability and statistics concepts

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Strengthen your foundational knowledge of probability and statistics, which are essential for understanding AI algorithms and applications.

Browse courses on Probability

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Review textbooks or online resources on probability and statistics
Practice solving probability and statistics problems

Nine other activities

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Review fundamentals of artificial intelligence (AI)

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Solidify your understanding of the core principles and vocabulary defined within the discipline of Artificial Intelligence.

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Explore introductory resources on AI
Attend webinars or online courses on AI basics
Practice implementing simple AI algorithms

Read "Artificial Intelligence: A Modern Approach"

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Obtain a comprehensive understanding of the fundamental principles and techniques of artificial intelligence.

View Melania on Amazon

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Read the selected chapters of the book
Take notes and summarize key concepts
Discuss the book's content with classmates or colleagues

Participate in AI Ethics Discussion Forum

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Join an online forum or discussion group to engage with peers and experts in discussions on ethical considerations and best practices in AI.

Browse courses on AI Governance

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Find an active online forum or discussion group focused on AI ethics.
Introduce yourself and participate in ongoing discussions.
Share your insights, ask questions, and learn from others' perspectives.

Explore Ethical Considerations in AI

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Seek out tutorials and resources on ethical considerations in AI, such as fairness, accountability, and transparency, to enhance your understanding of responsible AI implementation.

Browse courses on Ethics in AI

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Search for online tutorials or webinars on ethical AI practices.
Review case studies or examples of ethical dilemmas in AI.
Engage in discussions or forums on ethical implications of AI.

Join a study group to discuss AI ethics

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Engage with peers to explore different ethical considerations surrounding the development and deployment of AI systems.

Browse courses on AI Ethics

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Find a study group or online community focused on AI ethics
Participate in discussions and share your perspectives
Work together to develop a code of ethics for AI development

Write a Blog Post on AI Biases

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Create a blog post or article that analyzes different types of AI biases, their potential impact, and strategies to mitigate them.

Browse courses on Algorithmic Bias

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Research various sources on AI biases.
Identify real-world examples of AI bias.
Develop recommendations for addressing and preventing bias in AI systems.
Write and publish the blog post or article.

Write a blog post on a specific AI application

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Deepen your understanding of AI applications by researching a specific use case and presenting your findings in a blog post.

Browse courses on AI Applications

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Choose an AI application that interests you
Research the application and its benefits and challenges
Write a blog post outlining your findings

Design an AI Ethics Policy

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Create a mock AI ethics policy for an organization, outlining principles, guidelines, and processes for ethical AI development and deployment.

Browse courses on AI Governance

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Research best practices and frameworks for AI ethics.
Identify key ethical considerations and principles for the organization.
Draft a policy document outlining ethical guidelines and implementation strategies.
Review and refine the policy with feedback from experts or stakeholders.

Develop a prototype AI solution for a business problem

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Apply your knowledge of AI techniques to develop a practical solution that addresses a real-world business problem.

Browse courses on AI Solutions

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Define the business problem and identify potential AI solutions
Design and develop an AI prototype
Evaluate the prototype's performance and identify areas for improvement
Present your prototype and findings to stakeholders

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Consultant

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.

See salaries and explore the career path for Project Manager

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.

See salaries and explore the career path for Researcher

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for AI Engineer

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.

See salaries and explore the career path for Product Manager

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Data Governance Analyst

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Data Ethics Officer

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.

See salaries and explore the career path for Cybersecurity Analyst

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.

See salaries and explore the career path for Policy Analyst

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.

See salaries and explore the career path for Technologist

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Ethics and Bias in Artificial Intelligence: Executive Briefing.

New Laws of Robotics

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Explores the hidden algorithms that are increasingly shaping our lives, from the way we get news to the way we get loans. It must-read for anyone who wants to understand the impact of AI on society.

Ethics and Bias in Artificial Intelligence

Executive Briefing

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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