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https://github.com/suchow/awesome-management-of-ai

A curated list of resources on the management of AI.
https://github.com/suchow/awesome-management-of-ai
List: awesome-management-of-ai
Last synced: 23 days ago
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A curated list of resources on the management of AI.
Host: GitHub
URL: https://github.com/suchow/awesome-management-of-ai
Owner: suchow
License: mit
Created: 2020-08-01T01:27:27.000Z (over 4 years ago)
Default Branch: master
Last Pushed: 2021-05-14T03:56:48.000Z (over 3 years ago)
Last Synced: 2024-04-22T12:05:21.482Z (7 months ago)
Size: 14.6 KB
Stars: 1
Watchers: 2
Forks: 1
Open Issues: 1
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project

ultimate-awesome - awesome-management-of-ai - A curated list of resources on the management of AI. (Other Lists / PowerShell Lists)
README

        # Awesome management of AI [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)



A curated list of awesome resources on the management of AI.

- [Responsible use of AI](#responsible-use-of-ai)

- [Interpretability](#interpretability)

- [Privacy](#privacy)

- [Security](#security)

- [Books](#books)

- [Podcasts](#podcasts)

- [Degree programs and certificates](#degree-programs-and-certificates)

- [Contributing](#contributing)

---

## Responsible use of AI

- [ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT)](https://facctconference.org/)

- [The Algorithmic Justice League](https://www.ajl.org/)

- [RE•WORK Responsible AI Summit](https://www.re-work.co/events/responsible-ai-summit-montreal-2019)

## Interpretability

## Privacy

## Security

## Degree programs and certificates

## Books

-	[Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the Work](https://www.amazon.com/Competing-Age-AI-Leadership-Algorithms/dp/1633697622/ref=tmm_hrd_swatch_0?_encoding=UTF8&qid=&sr=)

-	[How AI is Transforming the Organization](https://mitpress.mit.edu/books/how-ai-transforming-organization)

-	[Reimagining Business with AI](https://www.amazon.com/Reimagining-Businesses-AI-Sudhi-Sinha/dp/1119709156)

-	[The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster and More Profitable](https://sethearley.com/book-the-ai-powered-enterprise/)

-	[Management and Business Education in the Time of Artificial Intelligence (AI): The Need to Rethink, Retrain, and Redesign](https://www.amazon.com/Management-Business-Education-Artificial-Intelligence/dp/1641138092)

-	[The Future of Management in an AI World](https://www.palgrave.com/gp/book/9783030206796) 

-	[Artificial Intelligence For Business](https://www.springer.com/gp/book/9783319974354)

-	[The Intelligence Revolution: Transforming Your Business With AI](https://www.bernardmarr.com/default.asp?contentID=2061)

-	[Towards a Code of Ethics for Artificial Intelligence](https://www.springer.com/gp/book/9783319606477)

-	[The Oxford Handbook of Ethics of AI](https://www.amazon.com/Oxford-Handbook-Ethics-Markus-Dubber-dp-0197601448/dp/0197601448/ref=mt_other?_encoding=UTF8&me=&qid=)

-	[The Ethical Algorithm: The Science of Socially Aware Algorithm Design](https://www.amazon.com/Ethical-Algorithm-Science-Socially-Design/dp/0190948205)

-	[Heartificial Intelligence: Embracing Our Humanity to Maximize Machines](https://www.penguinrandomhouse.com/books/316811/heartificial-intelligence-by-john-c-havens/)

-	[A Citizen’s Guide to Artificial Intelligence](https://mitpress.mit.edu/books/citizens-guide-artificial-intelligence)

-	[Technically Wrong: Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech](https://www.sarawb.com/books)

-	[Responsible Artificial Intelligence](https://www.springer.com/gp/book/9783030303709)

-	[The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity](https://www.porchlightbooks.com/product/big-nine-how-the-tech-titans-and-their-thinking-machines-could-warp-humanity--amy-webb)

-	[Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again](https://www.amazon.com/Deep-Medicine-Artificial-Intelligence-Healthcare/dp/1541644638)

-	[Artificial Intelligence: Evolution, Ethics and Public Policy](https://www.routledge.com/Artificial-Intelligence-Evolution-Ethics-and-Public-Policy/Sarangi-Sharma/p/book/9781138625389)

-	[Artificial Intelligence: A Modern Approach](https://www.amazon.com/Artificial-Intelligence-Modern-Approach-3rd/dp/0136042597)

-	[Machine Learning for Business](https://www.manning.com/books/machine-learning-for-business)

-	[Applied Artificial Intelligence: A Handbook for Business Leaders](https://appliedaibook.com/)

-	[Artificial Intelligence in Practice: How 50 Companies Used AI and Machine Learning to Solve Problems](https://www.bernardmarr.com/default.asp?contentID=1783)

-	[The AI Advantage](https://mitpress.mit.edu/books/ai-advantage)

-	[Machine Learning: The Definitive Guide](https://www.amazon.com/Machine-Learning-Definitive-Intelligence-Applications/dp/1801584346)

-	[Artificial Intelligence: 4 Books in 1](https://www.amazon.com/Artificial-Intelligence-Beginners-Business-Learning/dp/B086PVL7CB)

-	[AI for People and Business: A Framework for Better Human Experiences and Business Success](https://www.amazon.com/AI-People-Business-Framework-Experiences/dp/1492036579)

-	[Rebooting AI: Building Artificial Intelligence We Can Trust](http://rebooting.ai/)

-	[Machine Learning in Business: An Introduction to the World of Data Science](https://www.amazon.com/Machine-Learning-Business-Introduction-Science/dp/1079988254)

-	[Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data](https://www.springer.com/gp/book/9783030167431?utm_campaign=3_pier05_buy_print&utm_content=en_08082017&utm_medium=referral&utm_source=google_books#otherversion=9783030167448)

-	[Strategy, Leadership and AI in the Cyber Ecosystem: The Role of Digital Societies in Information Governance and Decision Making](https://www.amazon.com/Strategy-Leadership-Cyber-Ecosystem-Information-ebook/dp/B08N68SCGY/ref=sr_1_1?dchild=1&keywords=9780128214596&linkCode=qs&qid=1620936910&s=books&sr=1-1)

-	[Machine Learning in Business: An Introduction to the World of Data Science](https://www.amazon.com/Machine-Learning-Business-Introduction-Science/dp/B088B8162S/ref=sr_1_1?dchild=1&keywords=9798644074372&linkCode=qs&qid=1620937074&s=books&sr=1-1)

-	[Artificial Intelligence for Business: What You Need to Know about Machine Learning and Neural Networks](https://www.amazon.com/Artificial-Intelligence-Business-Learning-Networks-ebook/dp/B07CCLXFY1/ref=sr_1_1?dchild=1&keywords=9780136556619&linkCode=qs&qid=1620937107&s=books&sr=1-1)

-	[The Executive Guide to Artificial Intelligence: How to Identify and Implement Applications for AI in Your Organization](https://www.google.com/books/edition/The_Executive_Guide_to_Artificial_Intell/avM-DwAAQBAJ?hl=en&gbpv=0)

-	[The Algorithmic Leader: How to Be Smart When Machines Are Smarter Than You](https://www.amazon.com/Algorithmic-Leader-Smart-Machines-Smarter/dp/1989025331/ref=sr_1_1?dchild=1&keywords=9781989025338&linkCode=qs&qid=1620937207&s=books&sr=1-1)

-	[Machine Learning for Business: A Simple Guide to Data Driven Technologies Using Machine Learning and Deep Learning](https://www.amazon.com/Machine-Learning-Business-Simple-Technologies-ebook/dp/B077CM29JV/ref=sr_1_1?dchild=1&keywords=9781979695381&linkCode=qs&qid=1620937306&s=books&sr=1-1)

-	[Building Successful Business Models Based on Artificial Intelligence: Growing Your Business Quickly Using Machine Learning and Deep Learning](https://www.amazon.com/Building-Successful-Business-Artificial-Intelligence/dp/1980887152/ref=sr_1_1?dchild=1&keywords=9781980887157&linkCode=qs&qid=1620937344&s=books&sr=1-1)

-	[Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence](https://www.amazon.com/Deep-Learning-Illustrated-Intelligence-Addison-Wesley/dp/0135116694/ref=sr_1_1?dchild=1&keywords=9780135121726&linkCode=qs&qid=1620937453&s=books&sr=1-1)

-	[The Hundred-Page Machine Learning Book](https://www.amazon.com/Hundred-Page-Machine-Learning-Book/dp/199957950X/ref=sr_1_1?dchild=1&keywords=9781999579517&linkCode=qs&qid=1620937493&s=books&sr=1-1)

-	[Artificial Intelligence and Machine Learning for Business: Approach for Beginners to AI and Machine Learning and Their Revolution of Modern Life, Health Care, Business and Marketing](https://www.amazon.com/Artificial-Intelligence-Machine-Learning-Business/dp/B07VXKRHK3/ref=sr_1_1?dchild=1&keywords=9781079768565&linkCode=qs&qid=1620937521&s=books&sr=1-1)

-	[AI Blueprints: How to Build and Deploy AI Business Projects](https://www.amazon.com/Smart-Code-Building-deploying-business-ebook/dp/B07CSK32VQ/ref=sr_1_1?dchild=1&keywords=9781788997973&linkCode=qs&qid=1620937591&s=books&sr=1-1)

-	[Succeeding with AI: How to Make AI Work for Your Business](https://www.simonandschuster.com/books/Succeeding-with-AI/Veljko-Krunic/9781617296932)

-	[Feature Engineer for Machine Learning](https://www.oreilly.com/library/view/feature-engineering-for/9781491953235/)

-	[Artificial Intelligence for Business: A Roadmap for Getting Started with AI](https://www.wiley.com/en-us/Artificial+Intelligence+for+Business%3A+A+Roadmap+for+Getting+Started+with+AI-p-9781119651734)

-	[The AI Business: The Commercial Uses of Artificial Intelligence](https://www.amazon.com/Artificial-Intelligence-Business-Commercial-Uses/dp/0262231174/ref=sr_1_1?dchild=1&keywords=9780262231176&linkCode=qs&qid=1620938024&s=books&sr=1-1)

-	[Artificial Intelligence for Business Leaders: Artificial Intelligence and Machine Learning Book for Managers, Leaders](https://www.amazon.com/Artificial-Intelligence-Business-Leaders-INTELLIGENCE-ebook/dp/B08DHZJ936/ref=sr_1_1?dchild=1&keywords=9798668732227&linkCode=qs&qid=1620938067&s=books&sr=1-1)

-	[Artificial Intelligence in Business](https://www.amazon.com/Artificial-intelligence-Business-Maleehah-Gull/dp/1773615599/ref=sr_1_1?dchild=1&keywords=9781773615592&linkCode=qs&qid=1620938133&s=books&sr=1-1)

-	[Artificial Intelligence and Business Management](https://www.amazon.com/Artificial-Intelligence-Business-Management-Computational/dp/0893917966/ref=sr_1_1?dchild=1&keywords=9780893918354&linkCode=qs&qid=1620938187&s=books&sr=1-1)

-	[The AI Organization: Learn from Real Companies and Microsoft’s Journey How to Redefine Your Organization with AI](https://www.oreilly.com/library/view/the-ai-organization/9781492057369/)

-	[Leveraging Artificial Intelligence for Business Success](https://www.amazon.com/Leveraging-Artificial-Intelligence-Business-Success-ebook/dp/B08FJGBRLX/ref=sr_1_1?dchild=1&keywords=9781648997006&linkCode=qs&qid=1620938327&s=books&sr=1-1)

-	[AI Ethics: MIT Press Essential Knowledge Series](https://www.amazon.com/Ethics-MIT-Press-Essential-Knowledge/dp/0262538199/ref=sr_1_1?dchild=1&keywords=9780262538190&linkCode=qs&qid=1620938363&s=books&sr=1-1)

-	[Towards a Code of Ethics for Artificial Intelligence](https://www.springer.com/gp/book/9783319606477?utm_campaign=3_pier05_buy_print&utm_content=en_08082017&utm_medium=referral&utm_source=google_books#otherversion=9783319606484)

-	[The Atlas of AI](https://yalebooks.yale.edu/book/9780300209570/atlas-ai)

## Podcasts

-	[Data Stories](https://datastori.es/)

-	[Data Science at Home](http://podcast.datascienceathome.com/) 

-	[IBM Big Data and Analytics Hub](http://www.ibmbigdatahub.com/podcasts)

-	[Linear Digressions](http://lineardigressions.com/) 

-	[O’Reilly Data Show Podcast](https://www.oreilly.com/topics/oreilly-data-show-podcast)

-	[This Week in Machine Learning and AI](https://twimlai.com/)

-	[Digital Analytics Power Hour](http://www.analyticshour.io/)

-	[AnalyticsWeek’s Future of Data](https://itunes.apple.com/us/podcast/10-minute-business-analytics-podcast-data-analytics/id1240997359?mt=2) 

-	[The 10 Minute Business Analytics Podcast](https://itunes.apple.com/us/podcast/10-minute-business-analytics-podcast-data-analytics/id1240997359?mt=2)

-	[Obsessive-Compulsive Data Quality](http://www.ocdqblog.com/podcast/)

-	[Marketing Smarts](https://www.marketingprofs.com/resources/type/26/podcasts/)

-	[What To Think](https://www.youtube.com/watch?v=ZWDWTy6rCvM)

-	[HBR IdeaCast](https://itunes.apple.com/us/podcast/322-big-data-solves-big-problems/id152022135?i=122344795&mt=2)

-	[The McKinsey Podcast](https://player.fm/series/the-mckinsey-podcast-89127)

-	[The Product Podcast](https://player.fm/series/series-2286423)

-	[CIO Talk Network Podcast](https://player.fm/series/cio-talk-network-podcast) 

-	[Bloomberg Intelligence](https://player.fm/series/bloomberg-intelligence)

-	[AI in Business](https://player.fm/series/ai-in-business)

-	[AI in Financial Services Podcast](https://player.fm/series/ai-in-financial-services-podcast)

-	[Intelligence Matters](https://player.fm/series/intelligence-matters-2291086)

## Contributing

**How to contribute to this list.**

See [Contributing](CONTRIBUTING.md)