How To implement in the classroom
“AI can now be ubiquitous in the classroom; every student and educator with a computer and internet has free access to the most powerful AI models in the world.”
-Ethan Mollick and Lilach Mollick
Incorporating Generative AI into the Classroom
In today’s fast-paced and technology-driven world, artificial intelligence (AI) is increasingly being viewed as a business advantage. However, businesses are facing a significant challenge in terms of cultivating a culture that not only trusts but also effectively utilizes AI. This requires a fundamental shift in mindset, as well as a comprehensive understanding of the potential benefits and risks associated with AI.
To address this challenge, it is imperative to bring this topic into the business school classroom, where students can learn how to effectively integrate AI into their future careers. By providing a deeper understanding of AI, its capabilities, and its limitations, business schools can help create a more informed and skilled workforce that is better equipped to navigate the rapidly evolving technological landscape of today’s business world.
Here are some tangible ways to incorporate GenAI into the classroom:
Role-Playing Scenarios
- Designing a marketing campaign using generative AI tools.
- Developing customer service bots with human-like interaction capabilities.
Group Debates
The use of AI must be ethical, tackling bias, privacy, and accountability through discussions and debates:
- The ethics of AI in data collection and analysis.
- Balancing AI-driven efficiency with job displacement concerns.
Innovation Workshops
Creating a culture that embraces AI requires understanding its capabilities and limitations. Consider workshops that encourage students to think creatively about AI applications:
- Brainstorming AI solutions for real-world business problems.
- Designing an AI-powered business model for a startup.
Collaborative AI Project Examples
Collaboration between humans and AI can lead to enhanced decision-making. Students work on projects where AI tools are used to complement human skills.
- Use AI for market analysis and strategic planning.
- Developing an AI-assisted customer relationship management system.
AI Literacy: Business Learning Modules
AI literacy is no longer optional. Integrate AI learning modules that cover the basics of machine learning, and natural language processing:
- Introduction to Machine Learning for Business Analytics.
- Natural Language Processing for Customer Insights.
Measuring Success and Trust in AI with KPI Discussions
Look at metrics and KPIs to evaluate the effectiveness of AI initiatives and the level of trust within an organization:
- Defining success metrics for AI projects.
- Surveys and tools to measure employee trust in AI systems.
Some things to keep in mind while incorporating AI into the classroom are:
Avoiding Plagiarism
It’s important to teach students how to use generative AI responsibly. This includes understanding what constitutes plagiarism and how to credit AI-generated assistance.
Example: Discuss how the use of generative AI intersects with the concept of plagiarism. Explain that while AI can generate useful content, it’s important to use this content responsibly and not represent it as one’s own original work.
Have students use the AI tool to generate a business strategy for a hypothetical business. Then, ask them to incorporate this content into a short report, making sure to properly credit the AI tool. Then have students share their reports and discuss the process of integrating the AI-generated content. Discuss any challenges they faced and how they ensured they were using the content responsibly.
Lastly, discuss the importance of ethical considerations when using AI tools. Emphasize that while AI can be a valuable tool, it’s crucial to use it responsibly and ethically.
Use AI To Develop Critical Thinking
Generative AI can sometimes produce incorrect or biased information. Educators should encourage students to critically evaluate AI-generated content.
Example: Use the AI tool to generate a set of business strategies for a hypothetical company. For example, you might ask AI to generate strategies for a startup looking to enter the e-commerce market.
Divide the students into small groups and provide each group with a subset of the AI-generated strategies. Ask each group to discuss the strategies and evaluate them based on the following criteria:
- Feasibility: Is the strategy practical and achievable with the resources available to the hypothetical company?
- Effectiveness: Would the strategy likely lead to the desired business outcomes (e.g., increased sales, market penetration)?
- Ethical Implications: Does the strategy align with ethical business practices and respect for customer privacy and data security?
Ask each group to present their findings to the class. Encourage them to explain their reasoning and engage in a discussion with their peers.
Some examples and concepts Generated by AI
