Generative AI Toolkit for Students
- William Cook
- Mar 20
- 24 min read
Updated: Mar 28
This project has been supported by Students as Partners at Deakin University and has been created to help you understand how Generative AI can help you in your studies but also how to use it responsibly.
Unfortunately, we did not get to publish it as a university resource, so it is now being shared as an open resource and any content in this is not endorsed by Deakin University.
With thanks to:
Will Cook & Rohan Batra – Project Leads
Dr Wendy Webber, Alison Cossey, Drew Roberts, Sam Geddes, Dr Cassandra Iannucci – Supporting Academics and Professional Staff
Thanks to all the students, academics and other professional staff who helped create the toolkit.
Beginner Level: Introduction to AI Tools
A) What is AI and Generative AI?
UNESCO defines Artificial Intelligence (AI) as: "Built from data, hardware and connectivity, AI allows machines to mimic human intelligence such as perception, problem-solving, linguistic interaction or creativity."
Generative AI (genAI) is a subset of AI that doesn't just analyse data—it creates content from previous data given to it (re-invents it). Think of it as a tool or a personal assistant that is always available. It can draft, develop images, compose music, etc. (We will get into the issues with some of these later) based on patterns it has learned from vast amounts of data it is trained with.
B) WARNINGS: Ethical and Professional Use of AI – The Downsides and Things to Look Out For
AI and Academic Integrity
Before we proceed, we must address the elephant in the room: academic integrity.
As with any tool that helps in our learning, it is essential to keep and uphold the standards of academic integrity. As discussed, these tools can help and improve your learning but can also be used to plagiarise and cheat. You must understand the bounds of these tools
Guideline | Example | Acceptable |
Ensure it is YOUR work | Using genAI to help develop topics for an essay and brainstorming; Consulting genAI for ideas on structuring an essay but developing the content and arguments yourself | Yes |
Use AI as a tool, not a creator | Using genAI to brainstorm and then write parts of the assignment. Using GenAI to generate any [DR10] content of your assignment without any personal input | No |
Engage in the task yourself | Discussing with genAI what makes a marketing campaign stand out and then doing your work and research on it. Using genAI to identify key themes on a topic and then expanding on them with your own research and analysis | Yes |
Avoid direct copying | Copying text generated by genAI directly into your assignment without modification | No |
Acknowledge AI-generated content | Using content generated by genAI in your essay and properly acknowledging it | Yes (though you should not quote AI as often it makes up content or is biased. You should acknowledge your use of it. |
Review and assess AI content critically | Evaluating the accuracy and relevance of genAI-generated content before including it in your work; Cross-referencing with other sources to ensure reliability. | Yes |
Combine AI suggestions with personal insights | Use genAI suggestions to enhance your arguments and perspectives, but ensure the final work is predominantly your own analysis and thought process | Yes |
Declare AI assistance | Explicitly mentioning in your assignment that genAI was used for brainstorming or generating ideas. | Yes |
Maintain academic integrity | Ensuring that the use of genAI adheres to all the academic integrity guidelines. | Yes |
Read the academic integrity policy
Read your institution's academic integrity policy and complete the module to ensure you understand what is and is not allowed.
Key Links:
Always declare your use of AI
If you are using Generative AI in any way, always be sure to declare your use of it in your bibliography.
Check with your unit chair
If you’re unsure if what you’re doing is all right, be sure to check in with your unit chair or a Language and Learning Advisor who can assist with your work and help you with your assessments.
Be Ethical & Conduct Critical Thinking
At the end of the day, assessments are designed to challenge your learning and critical thinking skills. When an evaluation is done, ask yourself – “have I learned something and undertaken independent thought?”.
Your teachers want to see your ideas and thinking. They don’t care what genAI thinks; they want your opinion.
Thinking Critically While Using Generative AI Tools: Generative AI tools can be useful, but it's crucial to engage critically with the content they provide.
Question the Output: Always ask yourself if the information provided by the AI makes sense and aligns with your knowledge and research. Don't accept the output at face value.
Cross-Verify Information: Use multiple sources to verify the accuracy of AI-generated information. This ensures that you are not misled by incorrect or biased data.
Analyse the Context: Consider the context in which the AI provides information. Sometimes, AI may provide data that is correct in one context but not in another.
Reflect on Biases: Be aware of potential biases in the AI's responses. Generative AI is trained on vast amounts of web data, which include[FB26] s biases inherent in the sources.
Apply Your Knowledge: Integrate the AI's output with your understanding and insights. Use the AI as a tool to enhance, not replace, your critical thinking and creativity.
Engage in Discussions: Discuss the AI's output with peers or mentors to gain different perspectives and deepen your understanding of the topic.
By following these guidelines, you can effectively use Generative AI tools to complement your learning process while maintaining academic integrity and developing your critical thinking skills.
Privacy Considerations
When using Generative AI, it is essential to remember that these tools are trained on substantial amounts of data. The data you give the tool will generally be used for training (data you input is processed by the AI to help improve it and is used to generate content in the future), so it’s essential that you do not upload confidential or sensitive information to these tools.
1. Protecting Personal Data
· Advice: Do not share sensitive information with AI tools.
· Example: Avoid inputting personal details or confidential project data.
2. Understanding Data Usage
· Tip: Read the AI tool's privacy policy to know how your data is used.
Understanding AI Limitations
The tool is only as good as the input. GenAI is trained on vast amounts of web data (up until a certain date, depending on the model (a model is the version you are running)), but the internet does have inherent biases and limitations. Data can sometimes be incorrect that it gives you and it can have errors and can be biased. Double-check what the tool tells you, and critically think about its output—always question.
1. Accuracy and Reliability
Caution: AI can often provide incorrect information.
Action: Always verify facts with reliable sources.
2. Recognising Bias
Awareness: AI may reflect biases present in its training data.
Tip: Critically evaluate AI outputs, especially on sensitive topics.
C) Examples of Generative AI tools:
There are many Generative AI tools on the market; here are a few common ones you might encounter in the faculty. Just as a warning, these tools are consistently being developed and you need to make an informed choice about your usage.
Tool | Description | Useful for | Tip | Units | Paid Options |
ChatGPT | Generative AI tool for conversations, answering questions, tutoring, and explaining complex topics. | Asking questions and getting explanations | Be specific with your prompts to get better responses | Helpful across all | Yes, it offers a subscription plan for enhanced features and priority access |
Perplexity | AI-infused search tool for finding specific content. | Same as Gemini but better results | Double-check the facts for essential questions |
| No, all features are available for free |
Notebook LLM | Google tool that converts material into a podcast with AI avatars and a built-in chatbot. | Listening to long lecture notes/pdfs as a podcast | You can ask the chatbot questions regarding your content |
| Yes, requires a subscription for premium features |
Google Gemini | Google’s version of Generative AI for creative projects and brainstorming. | Use as a browser with AI-infused in it to get better web results | Double-check the facts for essential questions |
| No, all features are available for free |
Claude | Super-intelligent robot friend for asking questions and drafting stories. |
|
|
| No, all features are available for free |
Jasper AI | Tool for creating blog posts, social media content, and marketing emails quickly. | Creating marketing content | Useful for marketing assignments or creative ad copy | Helpful across marketing-based units | Yes, offers subscription plans with various features and usage limits |
Grammarly | Tool for checking grammar, spelling, punctuation, and writing flow. | Checking grammar, spelling, and tone in your writing | It can help make your essays sound more professional | Helpful across heavy text-based units | Yes, provides premium plans for advanced grammar checks and style suggestions |
Khan Academy AI | Personalised tutoring in subjects like maths and economics. |
| Great for revising concepts you find challenging | Helpful for maths, economics and statistics | No, all features are available for free |
B) Basic Uses of AI in Studies
AI tools are here to help you learn and study smarter, not harder. You could use Generative AI as a tutor, a study companion, or just someone with whom you could have intellectual conversations to satisfy your curiosity (do not forget that you need to be critical with your use).
1. Brainstorming Ideas
Stuck on choosing a topic for your assignment? AI can generate a list of potential issues based on your interests. Are you thinking of a marketing campaign for Chipotle? Wondering why interest rates go up and what it has to do with inflation? AI can assist you with conducting further research and bouncing around ideas, though it is not there to come up with the ideas for you.
Example:
You ask ChatGPT: "Why do interest rates go up? What does it have to do with inflation, and how is all of it affected by consumer spending? Explain it to me like I am a 10-year-old."
ChatGPT will reply with an answer that explains the concept in a way that a 10 year old would understand.
2. Summarising Texts
AI can condense texts into key points. You could also use NotebookLLM to make them into podcasts and listen to them instead.
You can also upload text to tools like ChatGPT and discuss the text. Do not completely rely on these tools though, they may miss out parts so it is important to read texts in full to properly understand them.
3. Organising Ideas and Creating Structure
We all have ideas, but as Mark Zuckerberg once said, “Ideas never come out fully formed”. Since they don’t come out fully formed, sometimes it can be hard to give them structure and communicate them to other people or a larger audience or even your professor for an assignment; you can use AI in such situations to structure your ideas and maybe even get a new perspective and some feedback on them.
D) Practical Examples
Using AI for Essay Writing (You cannot use it to write the essay for you as that is plagiarism)
Scenario: You need to draft an essay on international trade laws.
How AI Helps: When using GenAI for tasks like writing an essay for university assessments, such as our international trade laws essay, Generative AI should be used to get ideas and perspectives rather than using it to write it. If you were to use a tool like ChatGPT or Gemini to write it, you would be in a direct breach of academic integrity. You want to use AI to get ideas for your essay, proofread it, and get feedback on your work. Generative AI tools, when used in the right way, can help you think critically and improve your work, but if used improperly, they might land you with an academic integrity violation.
Remember: Before using Generative AI tools for your assessments, please refer to the Academic Integrity policy outlined for your unit or consult your unit chair to ensure that you are allowed to use them and that the teaching team has defined the limitations.
Adjusting Tone
Scenario: Your report sounds too casual.
How AI Helps: Sometimes, you might author an email to your teaching team or a report on how the markets reacted to NVIDIA’s earnings last week and how it affected the S&P 500 overall. You might have all the correct facts, but you feel that your report is too casual or maybe there are too many spelling errors, you can use tools like Grammarly to get feedback on your work, have these tools proofread your essay and give you points where you can improve.
Example: Changing "We found out that..." to "Our findings indicate that..."
Improving Productivity
Scenario: You have multiple assignments due.
How AI Helps: We all have been through a time when you might have seven assignments due in one evening; why can you do to ensure that it doesn’t happen to you? AI can help you prioritise tasks, set schedules, and even remind you of deadlines.
Example: “I have multiple assignments due, number 1 is x and due on x…”
Maintaining Mental Health (Do not use for medical advice)
· Scenario: Feeling overwhelmed with academic pressures.
· How AI Helps: Academic life can be stressful and overwhelming, affecting your mental health. AI-powered chatbots can provide support and resources for mental health, allowing you to seek help and advice discreetly and efficiently and refer you to appropriate services.
2. Intermediate Level: Leveraging AI for Academic Success
A) Using AI for Literature Reviews and Research
Now that we have covered the basics, it’s time to upgrade and look at how we can use AI to achieve academic success and to help you in your studies.
1. Summarising Journal Articles
Summarising articles and pieces of text can help you understand a text before you read it. It is still essential for you to read it.
Tool: ChatGPT or specialised AI summarisers like Scholarcy.
Example: Upload an article (be aware of the rights to the article and if you are allowed to upload it), and the AI provides a concise summary highlighting the methodology, findings, and conclusions (it is an excellent way to see if a piece is relevant, and if so, you need to read it all).
Why it Matters: Academic papers can be dense and time-consuming to read (but are a necessary part of the process). AI tools help you efficiently grasp the essential points to help enhance your learning.
Engaging Tip: Think of AI as your speed-reading partner, turning complex articles into digestible insights.
2. Finding Gaps in Literature
How AI Helps: By summarising multiple articles, AI can identify trends and highlight areas that have not been extensively explored – but still needs to be cross checked.
Why it Matters: Spotting gaps in existing research is crucial for contributing original ideas to your field.
Engaging Tip: Use AI to become a detective in your discipline, uncovering untapped research opportunities.
3. Organizing References
Tool: AI-powered reference managers like Zotero with AI plugins. This can also be done through Microsoft Word and Endnote traditionally.
Tip: Use AI to automatically format citations and bibliographies in several styles, such as APA or MLA[DR46] . You can install extensions for others, such as AGLC-4. Make sure to cross-reference with Deakin’s guide to referencing, as it can be an academic integrity violation to not cite appropriately.
Why it Matters: Proper citation is essential in academic writing. AI tools save you from tedious formatting and ensure accuracy and consistency. It is also a portion of your marks.
B) Generating Ideas with AI
1. Topic Development
Example: For a law assignment on privacy, ask AI, "What are current legal challenges in data privacy?"
Why it Matters: AI can provide a broad overview of trending topics, helping you select a relevant and impactful subject for your assignment.
Engaging Tip: Treat AI as your brainstorming friend, sparking creative ideas you might have yet to consider. Do not let it develop the ideas.
2. Overcoming Writer's Block
Tip: Use AI to generate opening sentences or to rephrase your ideas.
Why it Matters: Starting a paper can be daunting. AI can provide that initial push to get your writing flowing.
Engaging Tip: Think of AI as your writing coach, ready to kickstart your creativity whenever you are stuck.
3. Refining Ideas
Remember: AI is a starting point. Use your critical thinking to develop and refine the ideas further.
Why it Matters: Your unique analysis and perspective make your work stand out.
Engaging Tip: Use AI as the canvas, but remember—you hold the brush that paints the masterpiece.
C) Enhancing Data Analysis
1. Analysing Excel Data
Tool: AI-powered data analysis tools like Microsoft's Excel with AI features or IBM Watson Analytics. Be sure to make sure the data is not private.
Example: Input your data, and the AI can generate charts, find trends, and suggest interpretations.
Why it Matters: AI simplifies complex data analysis, making it accessible even to non-data experts.
Engaging Tip: Let AI crunch the numbers so you can focus on drawing meaningful conclusions.
2. Creating Visuals
Tip: AI can help turn data into graphs or infographics for your presentations.
Why it Matters: Visual representations make data more understandable and engaging for your audience.
Engaging Tip: Transform raw data into visual stories with the help of AI.
3. Simplifying Complex Data
Example: Ask AI to explain statistical results in plain English.
Why it Matters: Understanding complex data is essential for accurate interpretation and application.
Engaging Tip: Use AI to translate technical jargon into everyday language.
D) Integrating AI into Daily Workflow
1. Automating Task
Example: Use AI to draft emails, set reminders, or schedule meetings.
Why it Matters: Automation saves time and reduces the risk of overlooking essential tasks.
Engaging Tip: Think of AI as your assistant, managing routine tasks so you can focus on what matters most. A good tool you might like to check out is Goblin Tools.
2. Getting Feedback
One of AI’s strong points is being able to seek feedback on your work. You can ask GenAI to review the work you’ve completed and ask for feedback on different aspects of it. Be sure only to upload small sections as there are self-plagiarism concerns with this.
How AI Helps: Paste sections of your report into AI to get suggestions on clarity, grammar, and coherence.
Why it Matters: Immediate feedback allows you to improve your work before submitting it.
Engaging Tip: Use AI as your editorial eye, catching mistakes you might have missed.
Incorporating these AI tools and strategies into your academic routine can enhance your productivity, deepen your understanding, and produce higher-quality work. Remember, AI is a powerful ally on your educational journey, but your critical thinking and creativity are irreplaceable.
Next Steps:
Experiment with Tools: Try different AI applications to see which ones best fit your needs.
Join Communities: Engage with forums or groups that discuss AI in academia to stay updated.
Reflect and Adapt: Regularly assess how AI impacts your work and adjust as needed.
By effectively leveraging AI, you're not just keeping pace with technological advancements—you're setting yourself up for academic and professional success in an increasingly digital world.
3. Advanced Learning
Now that we have covered ways GenAI can help you in your learning, let’s look at the future and how we can use GenAI to help us in more complex ways.
Best Practices for Using AI in Business and Law
As a Business or Law student at Deakin, integrating AI into your studies can offer immense benefits. However, to truly capitalise on these tools, it's crucial to use them thoughtfully and responsibly. Here are some best practices we recommend as AI student advisors to ensure you get the most out of AI while maintaining academic integrity and developing essential professional skills.
Three Tips for Effective AI Use
1. Cross-Check Information
Advice: Never accept AI output at face value.
While AI tools like ChatGPT can provide quick and comprehensive information, they are fallible. Errors, outdated data, or misinterpretations can occur. And since Generative AI is widely recognised for its ability to, well, “Generate”, it might just make things up sometimes or provide you with information that isn’t entirely true, which is why it is always a good idea to double-check any crucial data/facts.
Action: Always verify AI-generated content with reliable sources such as textbooks, academic journals, official legal documents, or reputable websites.
Example: If AI provides insights on Australian Tax, cross-reference this information with the latest updates from the Australian Taxation Office (ATO) or your course materials to ensure accuracy. The AI might give you the correct data, but what if parliament updated a law last week? While it may feel like something small, as a lawyer/future lawyer, the impact such an error could have on your case/assignment, or your career could be very significant and could lead to disciplinary action by the Victorian Legal Commissioner.
2. Refine Your Prompts
Understanding how to formulate your questions and prompts effectively can significantly enhance the utility of AI tools in your studies. By providing context, using specific terminology, and delineating the scope of your query, you can transform a vague request into a targeted, insightful response.
Additional Tips for Refining Prompts:
Provide Context: When asking about a legal principle, mention the jurisdiction, relevant case laws, or specific scenarios you are dealing with.
Define Terms: If your query involves niche or technical terms, define them within your prompt to avoid misinterpretation.
Break Down Complex Questions: Split multi-part questions into smaller, manageable sections for more detailed and structured answers.
Ask for Examples: Request specific examples to illustrate the concepts or principles discussed, adding practical relevance to theoretical insights.
By honing your crafting of precise prompts, you can leverage AI not just as an informational tool, but as a partner in deepening your understanding of complex subjects, enhancing your academic performance, and preparing you for professional challenges.
3. Use AI as a Tool, not a Crutch
Reminder: AI should assist, not replace your thinking. AI can enhance your understanding and efficiency, but over-reliance can hinder your learning process.
Action: Use AI to generate ideas or clarify concepts, then expand on these with your analysis and critical thinking.
Example: After using AI to summarise a business strategy model, critically evaluate its applicability to a specific Australian market or company based on your research.
B) Avoiding Over-Reliance on AI
1. Balance Automation with Critical Thinking
Strategy: Use AI for efficiency but make the final decisions yourself.
While AI can manage routine tasks and provide quick insights, it cannot replace human judgment and ethical considerations.
Action: Let AI handle time-consuming groundwork, but always review and interpret the results yourself.
Example: Use AI to organise data for market analysis, but personally interpret what the data means for your business plan.
2. Develop Independent Skills
Advice: Practice critiquing work produced by AI
Your capacity to analyse work independently is crucial in academic and professional settings.
Action: Regularly challenge yourself to complete assignments or solve case studies without the aid of AI to build confidence and competence. Then use AI after to see where you could improve.
Example: Attempt to draft a legal memorandum or business proposal on your own before consulting AI tools for refinement.
C) Fact-checking and Verifying Outputs
1. Cross-Reference with Authoritative Sources
Action: Compare AI-generated information with trusted materials.
AI will often present information that needs to be updated or corrected depending on what you ask. We cannot see what AI is doing, it works through a “black box” where we do not know how it reached an outcome.
Example: If AI provides details on a landmark High Court decision, verify the information by reading the case judgment or trusted legal commentaries.
2. Use AI to Supplement Research: Let AI guide you to critical topics or resources but remember to do the deep dive yourself. AI can be a powerful tool to enhance your understanding, but it should be different from thorough research.
Advice: Let AI point you in the right direction but do the deep dive yourself.
AI can help identify critical topics or resources but should be something other than thorough research.
Action: Use AI to generate a list of relevant statutes or business frameworks, then study those resources in detail.
Example: For a paper on corporate social responsibility, use AI to find influential theories, then read the original works by scholars like Carroll or Freeman.
3. Stay Updated with the Latest Information: When dealing with current events or recent changes in law and business, always ensure your information is current by checking the most recent sources. This practice helps you stay ahead and ensures the relevance of your work.
Example: If researching the latest amendments to consumer protection laws, verify the details on the Australian Competition and Consumer Commission (ACCC) website.
By adhering to these best practices, you'll enhance your academic performance and develop critical skills highly valued professionally. Remember, AI is a powerful ally when used correctly—it should empower you to think more deeply, not think for yourself.
5. The Future of AI in Academia and the Workplace
In the dynamic world of business and law, staying ahead of the curve means embracing the latest tools and technologies. Artificial Intelligence is no longer a futuristic concept—it's a present reality transforming industries across Australia. As a university student, you can leverage AI to enhance your learning experience and prepare for a successful career. This empowerment allows you to take control of your learning and future career, making you more confident in your abilities.
A) Workshops and Training Opportunities
1. Online Courses
Resource: Platforms like Coursera, edX, and LinkedIn Learning (available via the library) offer a range of AI courses suitable for different skill levels. Some classes are even explicitly tailored for business and law applications.
Tip: Look for courses accredited by reputable institutions or taught by industry professionals. Completing these courses can also enhance your CV and LinkedIn profile.
2. Faculty Support
Tip: Your lecturers and tutors are invaluable resources when it comes to understanding and integrating AI into your studies. They can offer guidance and insights into how AI impacts your field, deepening your understanding and potentially leading to research opportunities. Knowing that you have this support can make you feel more confident and guided in your learning journey.
Action: Don't hesitate to contact or email during office hours. Discussing AI with faculty can deepen your understanding and potentially lead to research opportunities.
B) Integrating AI into Learning
1. Personalised Learning
Example: AI-powered tutoring platforms can adapt to your learning style, focusing on areas where you need improvement. For instance, an AI tutor can provide customised exercises and feedback if you're struggling with corporate law concepts.
Tip: Experiment with AI learning apps like Duolingo for language skills or Coursera's personalised course recommendations to enhance your study routine.
2. Collaborative Projects
Tip: Managing group assignments can be challenging. AI tools can streamline communication, task allocation, and scheduling, making teamwork more efficient.
Action: Use AI-integrated project management tools like Trello or Monday.com to keep your group on track. Features like automated reminders and progress tracking can significantly improve collaboration.
C) Employer Expectations
1. AI Proficiency
Insight: Australian employers are increasingly seeking graduates comfortable with AI technologies. AI proficiency is becoming a sought-after skill for data analysis in business roles or legal research in law firms.
Tip: Highlight your experience with AI tools on your resume and be prepared to discuss how you've used them in interviews.
2. Continuous Learning
Advice: The AI landscape is constantly evolving. Staying updated on emerging technologies can make you more adaptable and innovative in your future career.
Action: Subscribe to industry publications like the Australian Financial Review or Lawyers Weekly to stay informed about AI advancements in your field.
D) Balancing Human Skills with AI
1. Emphasising Creativity
Reminder: While AI excels at processing data and automating tasks, it can't replicate human creativity and innovation.
Tip: Engage in activities that stimulate creative thinking, such as brainstorming sessions, workshops, or extracurricular interests like music or art. It is important to have a brainstorm and discussion with yourself first before going straight to AI. This will help develop your learning and creativity.
2. Developing Emotional Intelligence
Tip: Effective communication and people skills are crucial in business and law. AI can't replace the nuanced understanding that comes from human interaction.
Action: Participate in group discussions, networking events, and public speaking opportunities to enhance your emotional intelligence and communication skills.
3. Ethical Judgement
Action: Cultivate your ability to make ethical decisions, a critical aspect of the legal and business professions that AI can't replicate.
Tip: Enrol in ethics, integrity and judgement courses offered by your university or attend seminars on professional responsibility to deepen your understanding of ethical considerations in your field.[DR58]
By actively engaging with AI resources and balancing them with human skills, you position yourself for academic success and a competitive edge in the Australian job market. Remember, AI is a tool to augment your abilities, not a replacement for them. Embrace technology but continue to develop unique human skills that will make you invaluable in any professional setting.
6. Embracing AI for Academic and Professional Success
Embracing AI is about enhancing your abilities, not replacing them. As a Business or Law student, integrating AI into your studies can significantly impact your academic performance and future career prospects. Here's how you can make the most of AI:
Improve Efficiency
Automate Repetitive Tasks: Use AI tools to manage routine activities like scheduling, data entry, or organising research notes. This automation frees up time for deeper learning and critical thinking.
AI-Powered Research: Leverage AI-driven research platforms to quickly sift through vast legal documents or business reports, identifying relevant information in seconds rather than hours.
Smart Study Planning: Use AI applications to analyse your study habits and suggest optimal schedules or topics that require more focus, enhancing your overall productivity.
Enhance Understanding
Personalized Learning Experiences: AI tutors can adapt to your learning style, providing customised explanations and examples that make complex concepts more digestible.
Simulations and Predictive Modelling: Engage with AI simulations replicating business markets or legal scenarios, allowing you to apply theoretical knowledge in practical settings.
Language Processing Tools: Use AI to simplify complicated legal jargon or intricate business terminologies, aiding in better comprehension and retention.
Prepare for the Future
Skill Development: Familiarize yourself with AI tools in your industry, such as legal analytics software or business intelligence platforms. This knowledge can give you a competitive edge in the job market.
Industry Relevance: Stay updated on how AI transforms business and legal landscapes. Understanding these changes positions you as a forward-thinking professional.
Innovation Opportunities: Knowledge of AI can inspire innovative solutions to existing problems, potentially leading to entrepreneurial ventures or advancements within your field.
Networking and Community Engagement
Join AI Communities: Participate in forums, workshops, or online groups focused on AI applications in business and law. Engaging with peers and experts can enhance your understanding and open new opportunities.
Collaborative Projects: Work on group projects that involve AI, fostering teamwork skills and learning from others' experiences.
Adapting to AI-Driven Work Environments
Understand AI Integration: Learn how organisations incorporate AI into their operations. This knowledge can help you adapt to technological changes in your future workplace.
Enhance Soft Skills: As AI takes over more technical tasks, skills like leadership, communication, and emotional intelligence become increasingly valuable.
Lifelong Learning
Stay Informed: The AI landscape is constantly evolving. To stay current, regularly read articles, attend webinars, or take courses.
Professional Development: To further enhance your credentials, consider certifications or advanced degrees that specialize in AI applications within your field.
By integrating AI thoughtfully and ethically into your academic journey, you will enhance your current learning experience and set a solid foundation for a successful professional future. Embrace AI as a partner in your education and leverage its capabilities to unlock new levels of achievement.
Conclusion:
We hope you have found this guide helpful in understanding Generative AI and how it can assist your learning in the faculty. Remember to keep trying and testing new methods and tools, and remember that these tools are not foolproof either.
GenAI is a constantly evolving space, and dramatic changes will occur over time. It is essential to keep up with the development, not only for your digital literacy but also for your future career—best of luck with your studies going forward.
Other Deakin Resources:
Glossary of Key Terms in Generative AI
Term | Description |
Academic Integrity | The ethical code and moral content of academia, including values such as maintaining honesty and avoiding plagiarism in one's work. |
Algorithm | A set of rules or instructions given to an AI to help it learn on its own from the data provided. |
Artificial Intelligence (AI) | The simulation of human intelligence processes by machines, especially computer systems. It includes learning, reasoning, and self-correction. |
Bias | In AI, bias refers to a model's systematic favoring of certain outcomes, often due to imbalanced training data, leading to unfair or inaccurate results. |
Data Preprocessing | The process of cleaning and organizing raw data before feeding it into an AI model to improve its performance. |
Deep Learning | A subset of ML that uses neural networks with many layers (deep networks) to analyze various levels of data, often used in image and speech recognition. |
Digital Literacy | The ability to effectively and critically navigate, evaluate, and create information using a range of digital technologies. |
Ethics in AI | The study of moral principles and policies to ensure the fair and responsible use of AI technologies. |
Generative Adversarial Networks (GANs) | A class of AI algorithms used in unsupervised learning, where two neural networks (a generator and a discriminator) compete to improve the quality of generated data. |
Generative AI | A subset of AI that involves creating new content, such as text, images, or music, by learning patterns from existing data. |
Machine Learning (ML) | A type of AI that enables a system to learn from data rather than through explicit programming. It uses algorithms to identify patterns and make decisions. |
Natural Language Processing (NLP) | A field of AI that focuses on the interaction between computers and humans through natural language. It enables machines to understand, interpret, and generate human language. |
Neural Networks | Computational models inspired by the human brain's network of neurons, used in ML to recognise patterns and solve complex problems. |
Overfitting | A modelling error in ML where the model learns the training data too well, including noise and outliers, leads to poor performance on new, unseen data. |
Peer Review | The evaluation of scientific, academic, or professional work by others working in the same field to ensure standards of quality, performance, and credibility. |
Plagiarism | The practice of taking someone else's work or ideas and passing them off as one's own. |
Reinforcement Learning | An area of ML where an agent learns to make decisions by performing actions in an environment to maximise cumulative reward. |
Research Methodology | A systematic research plan includes the methods, techniques, and tools used to collect and analyse data. |
Supervised Learning | A type of ML where the model is trained on labelled data, meaning the input comes with the correct output. The model learns to map inputs to outputs. |
Test Data | A dataset is used to assess an AI model's final performance after it has been trained and validated. |
Training Data | The dataset used to train an AI model consists of input-output pairs for supervised learning or input data for unsupervised learning. |
Transfer Learning | A technique in ML where a pre-trained model is adapted to perform a different but related task, saving time and resources. |
Underfitting | A modelling error in ML where the model is too simple to capture the underlying patterns in the data leads to poor performance on training and new data. |
Unsupervised Learning | A type of ML where the model is trained on unlabelled data and must find patterns and relationships in the data independently. |
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