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Developing AI Policy

AI tools are already changing how we work, and they will continue to do so for years. Over the next few years, we’re likely going to see AI used in ways we’ve never imagined and are not anticipating. This course will guide you as you lead your organization to adopt AI in a way that’s not unethical, illegal, or wrong. This course empowers you to make informed decisions and confidently create an AI policy that matches your organizational goals.

Unique Features of this Course

- Broadly applicable to audiences of any field

- Efficient yet effective overview of major AI policy concerns

Unique Features of this Course

- Broadly applicable to audiences of any field

- Efficient yet effective overview of major AI policy concerns

- Beginner friendly for those who want to get started using generative AI tools

- Practical tips for how to develop an AI policy and advisory team

- Real-world examples of how industry regulations around AI have changed

Key Words

Artificial Intelligence (AI), Policy, Generative AI, Large Language Models (LLMs), Data Science

Intended Audience

- Professionals looking for an introduction to AI policies and general regulations

- Decision makers who may have to help write AI policies or determine how AI will be used at an institute

- Anyone curious about how we can use AI more responsibly

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What's inside

Syllabus

Developing AI Policy

This short course is intended to equip you with the knowledge you need to develop an effective AI policy for your organization.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for individuals across various fields seeking an overview of AI policies and ethical considerations

Provides a beginner-friendly introduction to generative AI tools and their ethical implications

Offers practical guidance on developing AI policies and establishing advisory teams

Emphasizes the importance of responsible AI practices and ethical decision-making

Covers real-world examples of industry regulations surrounding AI

Lack of hands-on exercises and interactive materials

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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 Developing AI Policy with these activities:

Review Basic Machine Learning Concepts

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Strengthen your understanding of fundamental machine learning concepts to enhance your comprehension of AI policy and regulation.

Browse courses on Machine Learning

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Review lecture notes or textbooks on machine learning.
Complete practice problems or exercises.

Identify Mentors in the AI Policy Field

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Connect with experienced professionals who can provide guidance and support in your journey of understanding AI policy.

Browse courses on AI Policy

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Attend industry events and conferences.
Reach out to professors or researchers in the field.
Join online communities and forums.

Read 'The Alignment Problem: Machine Learning and Human Values'

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Understand the ethical implications of AI development and the importance of aligning AI goals with human values.

View The Alignment Problem: Machine Learning and... on Amazon

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Purchase or borrow a copy of the book.
Read the book, taking notes and highlighting important passages.

Nine other activities

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Attend an AI Ethics Conference or Meetup

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Network with professionals in the field and learn about the latest developments in AI ethics and regulation.

Browse courses on AI Ethics

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Identify relevant conferences or meetups.
Register to attend.
Prepare questions and talking points.

Practice AI Policy Development Scenarios

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Enhance your understanding of AI policy development by practicing with real-world scenarios to prepare for potential challenges.

Browse courses on AI Policy

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Review key AI policy principles and considerations.
Identify and analyze potential ethical, legal, and social implications of AI technologies.
Develop and evaluate AI policy frameworks and guidelines.
Simulate decision-making scenarios and justify policy recommendations.

Explore OpenAI's GPT-3 Developer Platform

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Familiarize yourself with the tools offered by OpenAI, a leader in Generative AI development.

Browse courses on Generative AI

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Visit the GPT-3 Developer Platform website.
Create a free account.
Explore the available models and APIs.

Explore AI Policy Case Studies

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Gain practical insights by examining real-world examples of AI policy implementation and their impact.

Browse courses on AI Policy

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Identify and gather resources on AI policy case studies.
Analyze the case studies, focusing on the ethical, legal, and social implications.
Evaluate the effectiveness of different policy approaches.
Discuss the lessons learned and implications for future AI policy development.

Host a Discussion Group on AI Policy

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Facilitate a peer-to-peer learning experience by leading discussions on AI policy and its impact.

Browse courses on AI Policy

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Identify a group of peers with shared interests.
Schedule regular discussion sessions.
Prepare discussion topics and questions.
Facilitate the discussions, encouraging active participation.

Develop an AI Policy White Paper

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Demonstrate your comprehension of AI policy by creating a comprehensive white paper that presents your research and insights on key issues.

Browse courses on AI regulation

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Research and gather information on AI policy best practices and case studies.
Identify and analyze current challenges and future trends in AI regulation.
Develop a thesis statement and outline for your white paper.
Write and edit the white paper, ensuring clarity and logical flow.
Share your white paper with peers and experts for feedback and revisions.

Develop a Social Media Policy for AI Usage

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Create a practical policy to guide the ethical and responsible use of AI on social media platforms.

Browse courses on AI Policy

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Research existing AI policies and ethical guidelines.
Identify the specific risks and concerns terkait with AI usage on social media.
Develop a set of principles and guidelines for AI usage.
Draft the social media policy.
Review and finalize the policy with input from stakeholders.

Develop an AI Advisory Board Proposal

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Propose the establishment of an AI Advisory Board to provide guidance and oversight on the ethical and responsible use of AI in your organization.

Browse courses on AI Policy

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Research best practices for AI governance and advisory boards.
Identify potential members with expertise in AI, ethics, and law.
Develop a proposal outlining the purpose, scope, and operating procedures of the advisory board.
Present the proposal to organizational leadership and stakeholders.

Build an AI-Powered Chatbot for Customer Support

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Apply your knowledge of AI to a practical project, building a chatbot that provides customer support.

Browse courses on Generative AI

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Define the scope and objectives of the chatbot.
Choose an appropriate AI platform and model.
Train the chatbot on a relevant dataset.
Design and develop the chatbot interface.
Deploy and monitor the chatbot.

Career center

Learners who complete Developing AI Policy will develop knowledge and skills that may be useful to these careers:

AI Policy Analyst

An AI Policy Analyst may study and write about the impact of AI laws and policies on society. As an AI policy analyst, you would be tasked with studying and writing about the potential benefits and drawbacks of AI. This course would be helpful for an AI Policy Analyst. The classes would help provide a foundation in AI, and would be a great help in making informed decisions.

See salaries and explore the career path for AI Policy Analyst

Machine Learning Engineer

A Machine Learning Engineer is someone who builds and deploys machine learning models. As a Machine Learning Engineer, you would be tasked with designing, developing, and deploying machine learning models. This course would be helpful for a Machine Learning Engineer, as it would provide a foundation in AI and machine learning.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

A Data Scientist is someone who uses scientific methods to analyze data, and extract insights from data using programming and AI. As a data scientist, you would be tasked with creating models and algorithms that can help businesses make better decisions. This course would be helpful for a Data Scientist, as it would provide a foundation in AI and machine learning.

See salaries and explore the career path for Data Scientist

Policy Writer

A Policy Writer is someone who writes policies and procedures. As a Policy Writer, you would be tasked with writing policies and procedures. This course would be helpful for a Policy Writer, as it would provide a foundation in AI and machine learning.

See salaries and explore the career path for Policy Writer

Compliance Officer

A Compliance Officer is someone who is responsible for ensuring that an organization complies with laws and regulations. As a Compliance Officer, you would be tasked with ensuring that an organization complies with laws and regulations. This course would be helpful for a Compliance Officer, as it would provide a foundation in AI and machine learning.

See salaries and explore the career path for Compliance Officer

Product Manager

A Product Manager is someone who is responsible for the development and launch of new products. As a Product Manager, you would be tasked with identifying customer needs, developing product specifications, and launching new products. This course may be helpful for a Product Manager, as it would provide a foundation in AI and machine learning.

See salaries and explore the career path for Product Manager

Consultant

A Consultant is someone who provides advice and guidance to businesses. As a Consultant, you would be tasked with providing advice and guidance to businesses. This course may be helpful for a Consultant, as it would provide a foundation in AI and machine learning.

See salaries and explore the career path for Consultant

IT Manager

An IT Manager is someone who is responsible for the management of an organization's IT systems. As an IT Manager, you would be tasked with managing an organization's IT systems. This course may be helpful for an IT Manager, as it would provide a foundation in AI and machine learning.

See salaries and explore the career path for IT Manager

Technical Writer

A Technical Writer is someone who writes technical documentation. As a Technical Writer, you would be tasked with writing technical documentation. This course may be helpful for a Technical Writer, as it would provide a foundation in AI and machine learning.

See salaries and explore the career path for Technical Writer

Business Analyst

A Business Analyst is someone who analyzes business processes and recommends solutions to improve efficiency. As a Business Analyst, you would be tasked with analyzing business processes and recommending solutions to improve efficiency. This course may be helpful for a Business Analyst, as it would provide a foundation in AI and machine learning.

See salaries and explore the career path for Business Analyst

Science Writer

A Science Writer is someone who writes about science and technology. As a Science Writer, you would be tasked with writing about science and technology. This course may be helpful for a Science Writer, as it would provide a foundation in AI and machine learning.

See salaries and explore the career path for Science Writer

Research Scientist

A Research Scientist is someone who conducts research in a particular field. As a Research Scientist, you would be tasked with conducting research in a particular field. This course may be helpful for a Research Scientist, as it would provide a foundation in AI and machine learning.

See salaries and explore the career path for Research Scientist

University Professor

A University Professor is someone who teaches and conducts research at a university. As a University Professor, you would be tasked with teaching and conducting research at a university. This course may be helpful for a University Professor, as it would provide a foundation in AI and machine learning.

See salaries and explore the career path for University Professor

Software Engineer

A Software Engineer is someone who designs, develops, and maintains software systems. As a Software Engineer, you would be tasked with designing, developing, and maintaining software systems. This course may be helpful for a Software Engineer, as it would provide a foundation in AI and machine learning.

See salaries and explore the career path for Software Engineer

Data Analyst

A Data Analyst is someone who analyzes data and provides insights to businesses. As a Data Analyst, you would be tasked with analyzing data and providing insights to businesses. This course may be helpful for a Data Analyst, as it would provide a foundation in AI and machine learning.

See salaries and explore the career path for Data Analyst

Reading list

We've selected 12 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 Developing AI Policy.

Deep Learning

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Comprehensive guide to deep learning, covering the latest advances in the field. It is written by three leading researchers in the field, and it is an essential resource for anyone who wants to stay up-to-date on the latest developments.

Developing AI Policy

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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