Here are the AI-powered tools I use as part of my everyday workflow. I'm constantly updating this list as I experiment with new tech and evolve my practices.

• Axonify: workplace digital assistant, assessment generation
• Bing Image Creator: image generation
• ChatGPT: image generation, content summarization, idea generation
• ElevenLabs: voice over generation (my voice clone)
• HeyGen: video avatar generation (my video clone), language translation
• LearnGeek AI: L&D digital advisor
• Microsoft PowerPoint: live presentation captions
• Mindsmith: eLearning development
• Opus Clip: video clipping, captioning
• Synthesia: video avatar generation
• Vyond: video generation, language translation
• Zoom: automated meeting summaries

Chad Udell is the co-founder and chief strategy officer at Float and SparkLearn. He's an expert in mobile design and development and speaks at events on related topics. He is author of Learning Everywhere: How Mobile Content Strategies Are Transforming Training and co-editor/author with Gary Woodill of Mastering Mobile Learning: Tips and Techniques for Success and Shock of the New.

Dr. Philippa Hardman uses learning science and AI to help people design better learning experiences. She's the creator of the DOMS learning design engine, a Cambridge University Scholar, a former ed-tech chief academic officer and author of The Learning Science Newsletter.

For close to thirty years, Josh Cavalier has been creating learning solutions for corporations, government agencies, and secondary education institutions. He has been on the ChatGPT platform since late 2022 and applies his industry experience to the science of Natural Language Processing and AI.

Donald Clark is a learning tech entrepreneur, investor, author, podcaster, blogger and speaker. He's the CEO of Wildfire, an AI learning company, and author of the book AI for Learning.  Donald has over 37 years experience in online learning, video, games, simulations, semantic, adaptive, chatbot, social media, mobile learning, virtual reality, AI and Metaverse projects.

Artificial Intelligence for Learning by Donald Clark (2020)

This book debunks the myths and cuts through the hype around AI allowing L&D practitioners to feel confident in their ability to critically assess where artificial intelligence can make a measurable difference and where it is worth investing in. There is also critical discussion of how AI is an aid to learning and development, not a replacement as well as how it can be used to boost the effectiveness of workplace learning, reduce drop off rates in online learning and improve ROI.

Artificial Intelligence for HR by Ben Eubanks (2018)

Covering everything from recruitment and retention to employee engagement and learning and development, Artificial Intelligence for HR outlines the value AI can add to HR. It also features discussions on the challenges that can arise from AI and how to deal with them, including data privacy, algorithmic bias and how to develop the skills of a workforce with the rise of automation, robotics and machine learning in order to make it more human, not less.

Trustworthy AI by Beena Ammanath (2022)

Award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI.   

Human + Machine by Paul R. Daugherty and H. James Wilson (2018)

Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization - whether related to breakthrough innovation, everyday customer service, or personal productivity habits. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability as well as what you can do to achieve similar results. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. 

Podcasts

• How IBM Uses AI to Transform Their HR Strategies (Digital HR Leaders Podcast, 04/2024)
• Developing AI literacy for L&D with Stella Lee (Learning While Working Podcast, 03/2024)
• AI in L&D: The State of Play (The Mind Tools L&D Podcast, 01/2024)
• How AI Can Make Work More Human with Juan Naranjo (In The Know, 11/2023)
• Making sense of AI - implementing AI in L&D with Markus Bernhardt (Learning While Working Podcast, 10/2023)
• Rethinking the future of work and learning with JD Dillon (Learning While Working Podcast, 07/2023)

• The Potential for Generative AI for L&D with Donald Clark (The Learning & Development Podcast, 04/2023)

Explore AI from The LPI
The Learning and Performance Institute (LPI) offers educational programs, consultation, research and insights into the application of AI within L&D through their Explore AI program.

AI in HR: The Ultimate Guide to Implementing AI in Your Organization (Gartner)
Leverage these Gartner tools to plan for the effects AI will have on HR and the entire workforce, evaluate AI use cases and understand what AI means for the workforce in terms of role design, skills and the employee experience.

Blueprint for an AI Bill of Rights
The US White House Office of Science and Technology Policy has identified five principles that should guide the design, use, and deployment of automated systems to protect the American public in the age of artificial intelligence. The Blueprint for an AI Bill of Rights is a guide for a society that protects all people from these threats—and uses technologies in ways that reinforce our highest values.

The EU AI Act
The AI Act is a proposed European law on artificial intelligence (AI) – the first law on AI by a major regulator anywhere. The law assigns applications of AI to three risk categories. Like the EU’s General Data Protection Regulation (GDPR) in 2018, the EU AI Act could become a global standard, determining to what extent AI has a positive rather than negative effect on life.