What is Artificial Intelligence?
Real World Examples
Books, Videos, Blogs & Podcasts
How It's Made
Ethics: AI for Good
Activities & Learning Guides
Learning Communities
What is Artificial Intelligence?
“Artificial intelligence leverages computers and machines to mimic the problem-solving and decision-making capabilities of the human mind.” –IBM
Whether you’re exploring artificial intelligence to use in your organization, or you’re just curious about how it works, these articles are a good place to start.
Additional Resources
- What is Artificial Intelligence (IBM): Learn about the types of AI, current applications, history, and future.
- The Fourth Industrial Revolution is Here: Are You Ready (Deloitte Insights): Read key findings from a survey of businesses executives assessing the impact of tech, and future plans.
- McKinsey for Kids (McKinsey): Explain AI to kids using this fun gamified website.
- How to Define Your AI Use Cases- With Handy Template (Bernard Marr): Find out how AI is implemented across organizations.
Real World Examples
AI Solving Real-World Problems
There are some types of problems that AI is incredible well-suited for, like sorting and classifying data or objects. Then there are more human problems where AI has run into issues, like choosing who should be hired for certain positions on a company. Start by understanding what kinds of problems AI can effectively solve.
What Kinds of Problems Can AI Solve?
- When Should You Use AI to Solve Problems? (Harvard Business Review)
- AI has huge potential- but it won’t solve all our problems (World Economic Forum)
- What Artificial Intelligence Still Can’t Do (Forbes)
So How is AI Used Today? Examples:
- Exploring Canon’s intelligent autofocus system (Canon): Learn how deep learning AI helps cameras focus.
- An Introduction to AI in Sorting Technologies (Recycling Today): Learn how AI is used to sort recyclables.
- AI Detects Diseases in Bananas (Future Farming): AI is saving the lives of crops everywhere!
- Dumpster Diving Robots: Using AI for Smart Recycling: Robots and AI work together to tackle the plastics and recycling problem.
- Lawyer-bots are Shaking Up Jobs: MIT Technology Reviews describes how AI is learning how to read, interpret and recommend resource articles and relevant legal cases.
- 59 Impressive Things AI Can Do Today: Business Insider describes what AI can do. You might be surprised.
- Connected Vehicles in Smart Cities: The Future of Transportation(Interesting Engineering)
- AI for Good (Microsoft)
- AI for Social Good (Google)
Books, Videos, Blogs & Podcasts
Books
Blogs & Podcasts
If you want to stay current on all things AI, read these books and follow these blogs and podcast series.
- The Batch Newsletter (DeepLearning.AI): Andrew Ng is a leader in AI and writes this blog on AI trends, course offerings, expert event panels, and all things that matter in the world of AI.
- OpenAI Blog: OpenAI is a research company that exists to ensure AI benefits all of humanity. Track use cases, key issues, and best practices on their blog.
- Machine Learning Mastery Blog: Jason Browlee started Machine Learning Mastery to help developers get started with machine learning and avoid information overload.
- Podcast & AI Articles (Barnard Marr): Follow emerging tech trends in business with Marr’s podcast and article collection.
- AI Magazine: Geared towards global executives, track business trends in AI.
- AI Podcast (NVIDIA): Listen to deep conversations with AI experts and leaders in the field.
- Eye on AI: The Podcast: Hear how AI is changing the world in creative ways across industries.
- AI for Social Good Podcast (Deloitte): Track AI ethics and trends to make the world better with AI.
How It's Made
Learn how machine learning is designed, developed and implemented in an organization, and the team roles necessary to get the job done. This is great for business leaders trying to implement AI, or job seekers trying to decide their role in AI.
Best Practices to Build a Machine Learning Team
- How to Build Machine Learning Teams that Deliver (Neptune Blog): Find out how to assess needs in an organization, build a solid team, and update organizational structures to get the job done right.
- The 7 Steps of Machine Learning (YouTube): Google walks us through how AI is designed, developed and made.
- How Do Teams Work Together on a Machine Learning Project? Microsoft tell you what you need to know about AI project teams.
- How Small Businesses Can Integrate Machine Learning Into Their Model: AI is not just for large corporations. Learn from Forbes.
- A Practical Guide to Machine Learning in Business: CIO shows the way.
- Choosing an Organizational Structure for Your AI Team (TDWI)
- People + AI Guidebook (Google): Methods, best practices and examples for designing with AI. For project design, business leaders, or anyone curious about how AI projects get off the ground.
- Google for Startups: Connect with a community of practitioners using Google products to start and grow their tech-driven business.
Ethics: AI for Good
Ethics in AI: Use Tech for Good
AI is powered by large quantities of data. Regulation surrounding data collection, use, privacy, and security are still being researched and developed. Many companies have attempted to write and enforce their own privacy and “tech for good” policies with mixed results. As a society we have yet to discover the full impact of this emerging technology on individuals, jobs, and entire industries.
Learn the basics of Ethics in AI to make informed decisions about how and when to use AI.
- A Practical Guide to Building Ethical AI (Harvard Business Review)
- Artificial Intelligence for Children Toolkit (World Economic Forum): Guide for C-Suite executives to develop safe and ethical AI products for children. Also good for parents to read!
- AI & Ethics: Collaborative Activities for Designers (IDEO): These Ethics Cards are a tool to help guide an ethically responsible culturally considerate, and humanistic approach to designing with data.
- It’s Getting Harder to Spot a Deep Fake Video (YouTube): When AI can generate realistic video, how can we tell what’s real anymore?
- AI Governance (Brookings Institute): A collection of articles identifying key AI governance issues to be addressed through policy changes.
- AI is Blurring the Definition of Artist: AI can generate artificial art now. What does that mean for human artists?
Each separate industry, government agency, and many professional development groups are starting to develop their own guidelines. You can also find a variety of “AI for Social Good” guidebooks if you search.
Activities & Learning Guides
Choose from a range of hands-on activities to try machine learning for yourself. Whether you are exploring a career in artificial intelligence, or are exploring AI for your organization, these activities can help!
Note: The activities for K-12 are also great for adults!
K-12
- Machine Learning for Kids: Find beginner to advanced level activities to introduce machine learning. Start with Scratch drag and drop programming for beginners, then advance to Python.
- Artificial Intelligence with MIT App Inventor: Beginner to advanced level projects to learn about AI ethics in deep fakes, image classification, conversational AI basics, and other practical applications.
- Learn About AI (Hour of Code): Shorter lessons and activities for younger students to learn about AI ethics, and how machine learning from from AI expert interviews.
- Teens in AI: Apply to enter a hackathon, accelerator, or bootcamp to explore careers and learn about AI directly from experts in the field.
Adults & Teens
- AI Lab Projects (Microsoft): Try these interactive web activities to easily understand machine learning concepts, practical applications, and ethics. There are no-code and code options.
- Teachable Machine (Google): Train your computer to recognize images, sounds and poses, then add your models to your own website or app. No coding required!
- Introduction to Machine Learning (Raspberry Pi): Try this free introductory course using Scratch and free online tools.
- Learn Artificial Intelligence (IBM- PTech): Free online course to learn AI basics, build a basic chatboy, and explore careers.
- AI Challenge (Curiosity Machine): Families can learn AI together and learn how to use AI to solve real problems in their community.
- Kaggle Courses: Learn this popular machine learning tool from the ground up using Kaggle’s free courses. Start with Python and work way up to machine learning and data science.
Learning Guides
If you want to learn machine learning as a developer, business analyst, program manager, or executive, use these guides from experts in artificial intelligence.- Find Your AI Learning Pathway (DeepLearning.AI): Courses designed by Andrew Ng, a leader in the field of AI has options for absolute beginners, intermediate, and advanced level developers.
- Start Here with Machine Learning (Machine Learning Mastery): Step-by-Step Guides to learn machine learning foundations and progress skills from beginner to advanced.
- Machine Learning Courses (Google): Find foundational and advanced courses, use guides, and the Machine Learning Glossary to learn key terminology and concepts.
- IBM Training: Find courses and learning communities to help you learn machine learning with IBM tools.
- An Executive’s Guide to Machine Learning (QuantumBlack AI by McKinsey)
- AI for Business Leaders (Udacity): Master the foundations of AI so you can strategically implement AI in your company. Leverage machine learning to power growth, increase efficiency, and enhance customer experience.
- People + AI Guidebook (Google): Methods, best practices and examples for designing with AI. For project design, business leaders, or anyone curious about how AI projects get off the ground.
- AI Product Management Specialization (Coursera- Duke University): Manage the design and development of machine learning projects, ethically and effectively.
- Empowering AI Leadership: AI C-Suite Toolkit (World Economic Forum): Learn the technical, organizational, regulatory, societal and philosophical aspects of AI you need to know to make informed decisions on AI strategy, projects and implementations.
Learning Communities
If you actually want to interact and talk with other people about AI for developers, startups, executives, or any other perspective you may be coming from, here are some options:
- Google for Startups: Connect with a community of practitioners using Google products to start and grow their tech-driven business.
- Kaggle Courses & Community: If you’re taking Kaggle courses, go to the “Discussions” board to get help troubleshooting and talk about Kaggle for ML.
- Machine Learning (Reddit): Follow this Reddit thread to learn the latest issues and random topics that come up when developing AI out in the wild.
- Tensorflow Community: An extremely popular tool for machine learning offers a discussion forum and developer communities.
- Artificial Intelligence & Machine Learning (Facebook Group): A private Facebook group that is beginner-friendly.
Learning communities come and go pretty frequently, so check Facebook, Twitter, Discord, and Reddit for active learning communities.