AI for Professional Development and Exploration
Source: https://careerservices.fas.harvard.edu/channels/ai-for-professional-development-and-exploration/ Parent: https://careerservices.fas.harvard.edu/channels/international-students/
Generative AI technology, such as ChatGPT, Gemini, and similar large language models, have become more widely used in career exploration, job searching, and professional development. These tools offer meaningful opportunities to support idea generation, skill development, and efficiency when used thoughtfully.
At MCS, we have seen growing student interest in using generative AI for activities such as exploring career paths, preparing application materials, practicing interviews, and identifying learning opportunities. Our office has long encouraged students to use available tools to navigate their career journeys, and we continue to support Harvard University’s emphasis on responsible, transparent, and ethical experimentation with AI technologies. MCS believes that the responsible use of generative AI tools can enhance professional development, whether in finding a job or applying to graduate school. The following guidelines are designed to help students use AI tools effectively while maintaining integrity, accuracy, and authenticity.
First, some important considerations:
- AI is not always accurate. Generative AI tools do not verify information and may draw on outdated, incomplete, or incorrect data. These tools can also “hallucinate,” meaning they may generate content that is false or unrelated to your prompt. Always review AI-generated content carefully and confirm important details using reliable sources.
- AI reflects bias. The output generated by AI models is shaped by the data they are trained on, which comes from a wide range of sources and may contain human bias. As a result, AI-generated content may reflect or reinforce bias. Users should critically evaluate outputs to ensure materials align with their values and goals.
- Be mindful of the information you share. Any data you share with generative AI tools will be used to further train the model. For this reason, it is best not to share sensitive personal information, confidential data, or proprietary materials.
- Generative AI works best as an iterative and conversational tool. This means that you shouldn’t automatically accept the first response you get. Prompting and then asking follow-up questions in response may get you better results. When creating prompts, consider the role you want the model to play, the intended audience, tone and length, preferred format, and key details to include.
- Start with your own work. Generative AI is a tool to support and enhance your work, not replace it. Instead of just copying and pasting AI-generated responses, use those responses to brainstorm, organize ideas, or refine drafts you have already created. Remember that generative AI models are trained to pull the most likely answer as opposed to the best answer. Without specific prompting from you, the output is likely to be generic and will not make the tailored impression you want to convey.
- Review your materials with an MCS career advisor. AI tools are most effective when combined with human feedback. Remember to take advantage of all available tools and resources, including meeting with an MCS advisor.
- Be sure to adhere to guidance from each employer, school, or department you are engaging with. Each organization you encounter may offer specific guidance for using generative AI relevant to their population.
- Practice responsible, ethical AI use. Many centers and initiatives across Harvard University are engaged in addressing AI and ethics. We recommend practicing responsible AI use by reviewing Harvard’s OUE Generative AI policies, HUIT’s Guidelines, GSAS Academic Integrity policies, and HES Academic Integrity guidelines. For comprehensive information on university-wide research, policy and educational initiatives, visit the AI at Harvard website and explore the many AI centers and initiatives at Harvard.
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