Chapter 1: Ready Set Grow

Ready Set Grow: Online References and Recommended Readings

1. Foundations and History of Artificial Intelligence

This section includes foundational texts and historical accounts that trace the evolution of AI from its early concepts and key figures to significant milestones and architectural breakthroughs.

Dartmouth College. (n.d.). Artificial intelligence (AI) coined at Dartmouth. Retrieved from https://home.dartmouth.edu/about/artificial-intelligence-ai-coined-dartmouth
EBSCO Research Starters. (n.d.). Deep Blue beats Kasparov in chess. Retrieved from https://www.ebsco.com/research-starters/sports-and-leisure/deep-blue-beats-kasparov-chess
(n.d.). Deep Blue. Retrieved from https://www.ibm.com/history/deep-blue
(n.d.). The history of artificial intelligence. Retrieved from https://www.ibm.com/think/topics/history-of-artificial-intelligence
Muggleton, S. (n.d.). Alan Turing and the development of Artificial Intelligence. Department of Computing, Imperial College London. Retrieved from https://www.doc.ic.ac.uk/~shm/Papers/TuringAI_1.pdf
(n.d.). Transformer Models in Natural Language Processing. Retrieved from https://www.netguru.com/blog/transformer-models-in-nlp
New Scientist. (n.d.). Alan Turing | The father of modern computer science. Retrieved from https://www.newscientist.com/people/alan-turing/
Russell, S., & Norvig, P. (n.d.). Artificial Intelligence: A Modern Approach. (Refers to a widely recognized foundational textbook in AI; specific edition details would need to be added from the exact edition used).
Upnify® Suite. (n.d.). Alan Turing. In the field of computer science and artificial intelligence. Retrieved from https://upnify.com/blog-en/alan-turing-in-the-field-of-computer-science-and-artificial-intelligence.html

2. AI Ethics, Principles, and Governance

This section gathers resources on overarching ethical frameworks, guiding principles, and corporate manifestos for the responsible development and deployment of AI technologies.

Blue Zoo Animation Studio. (n.d.). AI Manifesto. Retrieved from https://www.blue-zoo.co.uk/policies/ai-manifesto/
(n.d.). International: The UNESCO Recommendation on the Ethics of Artificial Intelligence | Opinion. Retrieved from https://www.dataguidance.com/opinion/international-unesco-recommendation-ethics
Artificial Intelligence Ethics Framework for the Intelligence Community. (n.d.). DNI.gov. Retrieved from https://www.dni.gov/files/ODNI/documents/AI_Ethics_Framework_for_the_Intelligence_Community_10.pdf
Google AI. (n.d.). AI Principles. Retrieved from https://ai.google/principles/
Harvard University. (n.d.). Building a Responsible AI Framework: 5 Key Principles for Organizations. Retrieved from <https://professional.dce.harvard.edu/blog/building-a-responsible-ai-framework-5-key-principles-for-organizations/#:~:text=Organizations%20that%20use%20AI%20ethically,the%20risks%20associated%20with%20AI.>
Holistic AI. (2024, September 10). What is AI Bias? - Understanding Its Impact, Risks, and Mitigation Strategies. Retrieved from https://www.holisticai.com/blog/what-is-ai-bias-risks-mitigation-strategies
(n.d.). What is AI Ethics?. Retrieved from https://www.ibm.com/think/topics/ai-ethics
(2025, July 23). What Is AI Transparency?. Retrieved from https://www.ibm.com/think/topics/ai-transparency
Artificial Intelligence Ethics Framework for the Intelligence Community. (n.d.). INTEL.gov. Retrieved from https://www.intelligence.gov/ai/ai-ethics-framework
ai. (n.d.). The Framework for Responsible AI. Retrieved from https://kore.ai/responsible-ai-framework/
Linking Artificial Intelligence Principles. (n.d.). Non Discrimination. Retrieved from https://www.linking-ai-principles.org/term/401
(2025, March 7). Responsible AI checklist (updated 2025) | Ensure fairness and transparency in AI. Retrieved from https://lumenalta.com/insights/responsible-ai-checklist-updated-2025
Microsoft AI. (n.d.). Responsible AI Principles and Approach. Retrieved from https://www.microsoft.com/en-us/ai/principles-and-approach
(2025, March 12). Ethical AI Usage Checklist. Retrieved from https://www.novelvista.com/resources/pdf/blogs/other/Ethical-AI-Usage-Checklist.pdf
(n.d.). AI principles. Retrieved from https://www.oecd.org/en/topics/ai-principles.html
(n.d.). Responsible AI checklist and framework by Rupa Chaturvedi. Retrieved from https://www.reforge.com/artifacts/responsible-ai-checklist-and-framework-by-rupa-chaturvedi
(n.d.). What is AI bias? Causes, effects, and mitigation strategies. Retrieved from https://www.sap.com/resources/what-is-ai-bias
Solutions Review. (2025, July 3). An AI Readiness Model Checklist with Recommended Web Tools. Retrieved from https://solutionsreview.com/an-ai-readiness-model-checklist-with-recommended-web-tools/
Syngenta Group. (n.d.). Syngenta Group AI Manifesto. Retrieved from https://www.syngentagroup.com/about/governance/ai-manifesto
The Equal Rights Trust. (n.d.). Principles on Equality by Design in Algorithmic Decision-Making. Retrieved from https://www.equalrightstrust.org/sites/default/files/ertdocs/Principles%20on%20Equality%20by%20Design%20in%20Algorithmic%20Decision%20Making_0.pdf
(2022). Recommendation on the ethics of artificial intelligence. UN Digital Library. Retrieved from https://digitallibrary.un.org/record/4062376?v=pdf

3. AI Bias and Fairness

This section focuses on the identification, impact, and mitigation of bias in AI systems, particularly in sensitive applications like hiring and financial lending.

untdallas.edu. (2025, May 12). When Algorithms Judge Your Credit: Understanding AI Bias in Lending Decisions. Retrieved from https://www.accessiblelaw.untdallas.edu/post/when-algorithms-judge-your-credit-understanding-ai-bias-in-lending-decisions
Fairness in AI-Driven Recruitment: Challenges, Metrics, Methods, and Future Directions. (2025, May 18). arXiv. Retrieved from https://arxiv.org/html/2405.19699v3
Gender Policy Report - University of Minnesota. (2024, July 22). Algorithmic Bias in Job Hiring. Retrieved from https://genderpolicyreport.umn.edu/algorithmic-bias-in-job-hiring/
RFK Human Rights. (2025, January 28). Bias in Code: Algorithm Discrimination in Financial Systems. Retrieved from https://rfkhumanrights.org/our-voices/bias-in-code-algorithm-discrimination-in-financial-systems/
Texas A&M Law Scholarship. (2025, February 15). The Impact of Artificial Intelligence on Lending: A New Form of Redlining? Retrieved from https://scholarship.law.tamu.edu/cgi/viewcontent.cgi?article=1258&context=journal-of-property-law

4. AI Legal Compliance (EU AI Act)

This section contains resources specifically detailing the European Union's AI Act, including its risk-based approach, categories of AI systems, and key mandated principles.

Autoriteit Persoonsgegevens. (n.d.). EU AI Act risk groups. Retrieved from https://www.autoriteitpersoonsgegevens.nl/en/themes/algorithms-ai/eu-ai-act/eu-ai-act-risk-groups
EU Artificial Intelligence Act. (n.d.). Article 14: Human Oversight. Retrieved from https://artificialintelligenceact.eu/article/14/
EU Artificial Intelligence Act. (n.d.). EU Artificial Intelligence Act | Up-to-date developments and analyses of the EU AI Act. Retrieved from https://artificialintelligenceact.eu/
EU AI Act. (n.d.). Key Issue 5: Transparency Obligations. Retrieved from https://www.euaiact.com/key-issue/5
European Union. (n.d.). AI Act | Shaping Europe's digital future. Retrieved from https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai
europa.eu. (n.d.). EU AI Act: first regulation on artificial intelligence | Topics. Retrieved from https://www.europarl.europa.eu/topics/en/article/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence
Pinsent Masons. (n.d.). A guide to high-risk AI systems under the EU AI Act. Retrieved from https://www.pinsentmasons.com/out-law/guides/guide-to-high-risk-ai-systems-under-the-eu-ai-act#:~:text=For%20example%2C%20AI%2Dbased%20biometric,in%20the%20context%20of%20law
Sopra Steria. (n.d.). Your EU AI Act Summary: 8 things leaders need to know. Retrieved from https://www.soprasteria.be/newsroom/blog/details/your-eu-ai-act-summary-8-things-leaders-need-to-know
Trail-ML. (n.d.). EU AI Act: Risk-Classifications of the AI Regulation. Retrieved from https://www.trail-ml.com/blog/eu-ai-act-how-risk-is-classified

5. Data Protection and Privacy (GDPR)

This section includes resources explaining the General Data Protection Regulation (GDPR), its core principles, and the specific challenges and best practices for compliance when working with AI systems.

(n.d.). AI & GDPR: Key Challenges, Fines and Practical Solutions. Retrieved from https://www.ddg.fr/actualite/compliance-of-ai-systems-with-the-gdpr-issues-penalties-and-prospects
DPO Consulting. (n.d.). GDPR & AI: Compliance, Challenges & Best Practices. Retrieved from https://www.dpo-consulting.com/blog/gdpr-and-ai-best-practices
Information Commissioner's Office (ICO). (n.d.). Principle (c): Data minimisation. Retrieved from https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/data-protection-principles/a-guide-to-the-data-protection-principles/data-minimisation/
(n.d.). Understanding the 7 Principles of the GDPR. Retrieved from https://www.onetrust.com/blog/gdpr-principles/
Research World. (n.d.). A regulatory perspective on synthetic data. Retrieved from https://researchworld.com/articles/a-regulatory-perspective-on-synthetic-data

6. Data Security and Information Management

This section provides resources on general cybersecurity best practices, including employee training, password policies, and network security, crucial for protecting sensitive business information.

(n.d.). How To Implement Phishing Attack Awareness Training. Retrieved from https://www.crowdstrike.com/en-us/cybersecurity-101/social-engineering/phishing-attack-awareness-training/
(n.d.). Benefits of VPN: Advantages of Using a Virtual Private Network. Retrieved from https://www.fortinet.com/resources/cyberglossary/benefits-of-vpn
Microminder CS. (n.d.). 10 Data Security Best Practices For Businesses. Retrieved from https://www.micromindercs.com/blog/ten-data-security-best-practices-for-businesses
Walden University. (n.d.). Cybersecurity 101: Why Choosing a Secure Password Is So Important. Retrieved from https://www.waldenu.edu/programs/information-technology/resource/cybersecurity-101-why-choosing-a-secure-password-in-so-important

7. AI in Business and Entrepreneurship

This section covers the practical applications of AI for entrepreneurs, focusing on workflow automation, productivity, content creation, customer relationship management, and data-driven decision-making.

Artificial Intelligence (AI) Statistics for Small Business (Updated for 2025). (n.d.). ColorWhistle. Retrieved from https://colorwhistle.com/artificial-intelligence-statistics-for-small-business/
Arion Research. (n.d.). AI-Driven Decision Making: Transforming Business Strategies with Data. Retrieved from https://www.arionresearch.com/blog/ai-driven-decision-making-transforming-business-strategies-with-data-analytics
Emerge and Rise. (2025, June 25). Generative AI: A game-changer for entrepreneurs. Retrieved from https://emergeandrise.org/news/generative-ai-a-game-changer-for-entrepreneurs
Enterprise Nation. (2025, April 17). Adopting AI could increase small business productivity by up to 133%. Retrieved from https://www.enterprisenation.com/learn-something/adopting-ai-could-increase-small-business-productivity-by-up-to-133-per-cent/
ESCP Business School. (2025, January 13). AI and Productivity: Transforming Modern Workflows. Retrieved from https://escp.eu/news/artificial-intelligence-and-productivity-transforming-modern-workplace
(n.d.). Ai browser automation: Web Automation vs Desktop Automation Comparison. Retrieved from https://fellou.ai/blog/ai-browser-automation-web-vs-desktop-automation-comparison/
(2025, March 31). How AI Is Transforming Business Process Automation in 2025. Retrieved from https://www.flowforma.com/blog/ai-business-process-automation
Google Cloud. (n.d.). Document AI. Retrieved from https://cloud.google.com/document-ai
Google Cloud. (n.d.). Vision AI: Image and visual AI tools. Retrieved from https://cloud.google.com/vision
(n.d.). Streamline Your Entire Business With a Free CRM. Retrieved from https://www.hubspot.com/products/crm
(n.d.). Analytics Tools and Solutions - IBM. Retrieved from https://www.ibm.com/solutions/analytics
(2024, January 18). Benefits of Chatbots | IBM. Retrieved from https://www.ibm.com/think/insights/unlocking-the-power-of-chatbots-key-benefits-for-businesses-and-customers
ai. (n.d.). Instantly.ai - Sales Engagement & Lead Intelligence. Retrieved from https://instantly.ai/
(2025, April 8). AI Can Improve US Small Business Productivity. Retrieved from https://itif.org/publications/2025/04/08/ai-can-improve-us-small-business-productivity/
Linkody's Blog. (2024, March 15). Is generative AI the future of content marketing. Retrieved from https://blog.linkody.com/marketing/generative-ai-for-content-marketing
(2025, June 23). Best AI CRM Platforms for Startup Founders (2025 Guide). Retrieved from https://marketful.com/blog/best-ai-crm/
Master of Code. (n.d.). AI Workflow Automation: Boost Productivity by 4.8x | 2025 Guide. Retrieved from https://masterofcode.com/blog/ai-workflow-automation
(2025, January 24). The 30 Best AI Automation Tools (+ How to Boost Efficiency). Retrieved from https://www.moveworks.com/us/en/resources/blog/best-ai-automation-tools-for-efficiency
PricewaterhouseCoopers (PwC). (n.d.). AI and the workforce: The changing nature of work. Retrieved from https://www.pwc.com/gx/en/issues/data-analytics/artificial-intelligence/ai-and-the-workforce.html
(n.d.). (PDF) AI-Powered Decision-Making in Business: Unlocking Insights for Operational Excellence and Market Innovation. Retrieved from https://www.researchgate.net/publication/385906631_AI-Powered_Decision-Making_in_Business_Unlocking_Insights_for_Operational_Excellence_and_Market_Innovation
(2025, July 25). Generative AI for Marketing Content Creation. Retrieved from https://www.turboinnovate.com/stories/generative-ai-for-marketing-content-creation
University of St Andrews. (2025, April 17). Adopting AI could boost the productivity of small and medium businesses by up to 133%. Retrieved from https://news.st-andrews.ac.uk/archive/adopting-ai-could-boost-the-productivity-of-small-and-medium-businesses-by-up-to-133/
Ujwary-Gil, A., & Florek-Paszkowska, A. (Eds.). (2025). AI, Analytics and Strategic Decision-Making (1st ed.). Routledge. https://doi.org/10.4324/9781003507840

8. Prompt Engineering

This section provides resources on the art and science of crafting effective prompts for Large Language Models (LLMs), including best practices and understanding model sensitivity.

Benchmarking Prompt Sensitivity in Large Language Models. (2025, February 9). arXiv. Retrieved from https://arxiv.org/abs/2502.06065
Google Cloud. (n.d.). Chain of Thought Prompting for LLMs. Retrieved from https://cloud.google.com/vertex-ai/docs/generative-ai/concepts/chain-of-thought
Google Cloud. (n.d.). Prompt Engineering for AI Guide. Retrieved from https://cloud.google.com/discover/what-is-prompt-engineering
Kasch, J. (2023, June 20). Persona-based prompting: A new way to unlock ChatGPT’s full potential. Towards Data Science. Retrieved from https://towardsdatascience.com/persona-based-prompting-a-new-way-to-unlock-chatgpts-full-potential-ec82a177209f
Literature Review] Prompt Variability Effects On LLM Code Generation. (n.d.). Moonlight. Retrieved from https://www.themoonlight.io/en/review/prompt-variability-effects-on-llm-code-generation
OpenAI Help Center. (n.d.). Prompt engineering best practices for ChatGPT. Retrieved from https://help.openai.com/en/articles/10032626-prompt-engineering-best-practices-for-chatgpt
Pardasani, S. (2025, July 24). The Science of Prompt Sensitivity: How LLMs React to Small Variations. Medium. Retrieved from https://medium.com/@sahil.pardasani/the-science-of-prompt-sensitivity-how-llms-react-to-small-variations-43ba988b8508
Wei, J., Wang, X., Schuurmans, D., Bosma, M., Ichter, A., Le, D., Guadarrama, Q., & Dean, J. (2022). Chain of Thought Prompting Elicits Reasoning in Large Language Models. arXiv. Retrieved from https://arxiv.org/abs/2201.11903

9. AI Risks and Societal Impact

This section includes resources discussing the broader implications of AI, such as its environmental footprint, potential for over-reliance, and historical examples of industries struggling to adapt to technological shifts.