Learning
The Secret Weapon Against AI Plagiarism: Watermarking
Explore the impact of AI-generated essays on education and the innovative solutions being developed to address this challenge, including OpenAI’s watermarking technology and regulatory efforts.
Published
3 months agoon
By
AIinAsia
TL;DR:
- AI-generated essays are a growing concern in education.
- OpenAI developed a watermarking solution to detect AI-generated text.
- Competition among AI providers hinders the implementation of watermarking.
- Regulatory efforts, like the California Digital Content Provenance Standards, aim to address this issue.
- The future of AI in education requires innovative assessment methods.
In the rapidly evolving world of artificial intelligence (AI), one application has sparked significant debate: AI-generated essays. As the new school year begins, teachers and educators are grappling with the reality that AI tools like ChatGPT can produce essays that are virtually indistinguishable from human-written ones. This shift has rendered traditional essay assignments less effective, forcing educators to adapt their teaching methods.
The Rise of AI in Education
AI has revolutionised many aspects of our lives, and education is no exception. Generative AI, in particular, has proven exceptionally adept at creating essays. This is because there are abundant examples of essays in AI training data, and the demand for such content is high. Additionally, the standards for essay quality and originality in student work are relatively low, making it an ideal task for AI.
The Challenge of Detecting AI-Generated Text
Currently, detecting AI-generated essays is a formidable task. While several tools claim to identify AI-generated text, their reliability is questionable. Accusing students of plagiarism based on unreliable tools can have serious consequences, making it crucial to find a more accurate solution.
The Solution: AI Watermarking
In 2022, a team at OpenAI, led by quantum computing researcher Scott Aaronson, developed a groundbreaking solution known as “watermarking.” This technique makes AI-generated text virtually unmistakable, even if the user makes minor changes. The watermarking process involves altering the AI’s text generation method to include a nonrandom element, favouring certain tokens based on a secret scoring rule.
For example, the AI might favour words containing the letter ‘V’ slightly more than usual. While this change is subtle and unlikely to be noticed by readers, it creates a detectable pattern that OpenAI can use to verify the text’s origin. This innovative solution could significantly reduce the problem of AI-generated essays masquerading as human-written work.
The Competitive Barrier
Despite the potential benefits of watermarking, OpenAI and other AI providers have not implemented this solution. The reason lies in competition. If OpenAI were the only provider to implement watermarking, users would simply switch to other AI tools like Meta’s Llama, Anthropic’s Claude, or Google’s Gemini. This would not solve the plagiarism issue and could lead to OpenAI losing its user base.
The Role of Regulation
To address this competitive barrier, regulatory intervention may be necessary. The California Digital Content Provenance Standards bill, introduced this year, aims to require generative AI providers to make their AI-generated content detectable. OpenAI supports this bill, as they are the only known provider with a working watermarking system. However, other AI providers are largely opposed to such regulations.
While watermarking could be a valuable tool, its implementation faces significant challenges. Open AI models, which can be run on personal computers, are already widely available. Adding watermarking to these models is not feasible, as anyone can use the current versions regardless of future updates.
Adapting to AI in Education
Given the challenges of implementing watermarking, educators must find alternative ways to assess students. Many teachers are already adopting in-class essay requirements and other innovative methods to reduce cheating. Additionally, the use of AI-generated content in college admissions essays is likely to decrease, as these essays may not be the best way to evaluate students.
The Future of AI and Education
The debate over AI-generated essays highlights a broader issue: the rapid pace of AI development often outstrips society’s ability to regulate and adapt. While AI offers numerous benefits, it also presents challenges like impersonation and plagiarism. Finding a balance between harnessing AI’s potential and mitigating its downsides will be crucial as AI continues to evolve.
Comment and Share:
What do you think about the future of AI in education? How can we ensure that AI is used ethically and responsibly in our classrooms? Share your thoughts and experiences in the comments below, and don’t forget to subscribe for updates on AI and AGI developments.
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- To learn more about AI water marking tap.
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Learning
Unlock Your AI Potential: Singapore’s New Online Course for Aspiring Engineers
AI Singapore launches AIAP Foundation, a six-month part-time online course to nurture AI engineers and support Singapore’s AI ambitions.
Published
1 month agoon
November 6, 2024By
AIinAsia
TL;DR:
- AI Singapore launches a six-month part-time online course to nurture AI engineers.
- The course, AIAP Foundation, is designed for self-learners with basic Python skills.
- Participants will learn fundamental AI and software engineering skills and work on real-world projects.
Artificial Intelligence (AI) is transforming industries worldwide, and Singapore is at the forefront of this revolution. To fuel its AI ambitions, AI Singapore has launched an innovative online course to nurture the next generation of AI engineers. This six-month part-time programme, called AIAP Foundation, is designed to equip participants with fundamental AI and software engineering knowledge and skills.
Course Overview: AIAP Foundation
AIAP Foundation is targeted at self-learners with at least basic proficiency in Python programming. The course is ideal for those who may not have the time to commit to full-time training but are eager to upskill in the applied field of AI engineering.
Deep-Skilling Phase
In the first phase, learners will dive into the fundamentals of exploratory data analysis (EDA), software engineering, AI, and building end-to-end machine learning pipelines. The curriculum includes:
- Comprehensive materials
- Hands-on exercises
- Guided projects
Project Phase
In the second phase, participants will gain valuable industry development experience. They will apply and hone their technical skills by working on a personalised, real-world, synthetic data-driven AI project.
Personalised Guidance and Mentorship
One of the standout features of AIAP Foundation is the AI-powered AI Engineer agent. This tool provides personalised guidance and mentorship on assignments. Participants can use it to explore and apply AI/ML principles and better understand the subject matter. Additionally, they can receive customised feedback on their code to refine their programming and software engineering skills.
For further assistance, participants can reach out to human AI engineers from AI Singapore via an online ticketing system.
Expert Insights
Kevin Chng, Head of AI Apprenticeship Programme, highlights the importance of the course:
“We continue to see high demand across companies in different sectors to adopt AI, sparking off a race for AI education to keep up with the needs of these organisations. With the AIAP Foundation, we hope to bridge this gap by offering a flexible, self-paced course that empowers anyone with programming skills to upskill in the applied field of AI engineering. The curriculum is guided by real-world examples to equip learners with realistic knowledge, enabling them to contribute game-changing solutions to power Singapore’s AI ambitions and explore more pathways into an AI engineering career.”
Next Steps: AIAP Programme
Upon completion of AIAP Foundation, participants who are interested in pursuing an AI engineering career can consider applying for the AIAP. The AIAP is a full-time nine-month programme that provides greater intensive deep-skilling training and the opportunity to work on real-world AI projects over seven months. Since its launch, over 350 participants have graduated from AIAP and have gone on to work for companies to develop new AI innovations.
Why AIAP Foundation Matters
AIAP Foundation is not just another online course; it is a strategic initiative to bridge the gap between the demand for AI skills and the supply of trained professionals. By offering a flexible, self-paced learning experience, AI Singapore is making AI education accessible to a broader audience. This, in turn, will fuel Singapore’s AI ambitions and contribute to its goal of becoming a global AI hub.
Comment and Share:
What AI projects are you most excited about? Share your thoughts and experiences in the comments below! Be sure to subscribe for updates on AI and AGI developments.
- You may also like:
- Coursera Launches Revolutionary Gen AI Skills Training for Teams
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- To learn more about Singapore’s Unlock Your AI Potential: Singapore’s New Online Course for Aspiring Engineers, tap here.
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Learning
AI Unleashed: Discover the Power of Notion AI
Notion AI brings advanced content generation and task automation to the Notion workspace, supporting teams and individuals with productivity and project management.
Published
1 month agoon
November 4, 2024By
AIinAsia
Notion AI brings advanced content generation and task automation directly into Notion’s workspace, helping users draft notes, summarise articles, and manage projects more efficiently. By streamlining daily workflows, Notion AI is invaluable for individuals and teams seeking an all-in-one productivity solution.
Notion AI Tool Review
Designed to enhance productivity, Notion AI assists with content creation, summarisation, and project management within the Notion platform. Its versatile functionality makes it ideal for collaborative workspaces, supporting roles from content creation to project oversight.
Power Levels
Usability: ★★★★★
Seamlessly integrated within Notion, Notion AI is intuitive and easy to use, especially for existing Notion users.
Functionality: ★★★★☆
Excellent for content generation and summarisation tasks, with some limitations on highly specialised queries.
Relevance: ★★★★★
Notion AI is highly relevant for knowledge workers, marketers, and project managers seeking to streamline workflows and boost productivity.
Free vs. Paid Versions
Notion AI is available as a paid add-on, unlocking advanced AI features within the Notion workspace. Non-AI features of Notion remain free, providing flexibility based on user needs.
Pros and Cons
Pros:
- Integrates smoothly into Notion’s workspace
- Offers tools for summarisation and quick content creation
- Ideal for productivity, project management, and collaborative workflows
Cons:
- AI features require a paid upgrade
- Some functions limited to text-related tasks
Competitor Comparison
Compared to tools like Coda AI and Obsidian, Notion AI focuses on creating a flexible workspace with AI-enhanced capabilities directly embedded, providing a smoother, integrated user experience.
Tool Strengths Drawbacks Notion AI Integrated workspace and AI Paid upgrade for AI features Coda AI Comprehensive document automation Requires Coda familiarity Obsidian Strong knowledge management No integrated AI features
Practical Applications in Asia
For teams and companies in Asia managing multilingual or large-scale projects, Notion AI provides a straightforward platform that enhances team productivity. Its content creation and summarisation capabilities make it particularly useful for busy project management environments.
Privacy and Security Considerations
Notion AI follows industry-standard privacy protocols, ensuring data security and safe collaboration for team projects.
Tips for Best Results
everage Notion AI’s summarisation and brainstorming tools to optimise meeting notes, draft outlines, and project checklists. Use Notion templates for more customisable workflows, tailoring them to fit specific team or project needs.
Get Started: Quick Prompts to the Explore Notion AI Tool
1. Prompt: Content Generation
Notion AI’s content creation feature is useful for quickly developing outlines and drafting ideas in a collaborative environment.
“Generate a blog outline on [remote work trends in Asia].”
2. Prompt: Project Planning
This prompt utilises Notion AI’s organisational capabilities, making it ideal for setting up actionable tasks within a project.
“Create a task list for launching [a marketing campaign].”
3. Prompt: Summarisation
Notion AI is effective at summarising large bodies of text, capturing key insights for team discussions or reports.
“Summarise the main points of this article: [AI trends in Asia].”
4. Prompt: Meeting Notes
Notion AI’s summarisation tools work well for condensing meeting notes, ensuring teams have actionable insights in a single view.
“Summarise this meeting discussion on [team goals for Q1].”
5. Prompt: Checklist Creation
This prompt leverages Notion’s structured format to create useful checklists for project management and workflow organisation.
“Generate a checklist for [launching a new product].”
Visuals and Screenshots
Here’s a screenshot of Notion AI generating a blog outline, showcasing its simplicity and speed in content creation.
Interactive Tool Section
To try Notion AI, visit Notion’s website and add the AI upgrade to experience enhanced content creation and task automation.
Final Thoughts and Recommendations
Notion AI is perfect for professionals and teams looking to boost productivity within Notion’s collaborative workspace. With tools for task automation, summarisation, and content generation, it provides an all-in-one solution for optimising work processes and streamlining daily tasks.
Join the Conversation
Have you tried Notion AI? Share your experiences, tips, or questions in the comments below! Don’t forget to subscribe for updates on AI and AGI developments and comment on the article in the section below. Subscribe here.
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Learning
AI Unleashed: Discover the Power of Gemini AI
Gemini provides real-time data accuracy and Google integration, making it ideal for market research, customer support, and productivity.
Published
2 months agoon
October 29, 2024By
AIinAsia
Gemini, Google’s AI-powered conversational tool (formerly known as Bard), is designed to leverage real-time information, making it a valuable option for tasks that require up-to-date insights. Built for integration with Google’s ecosystem, Gemini’s capabilities shine in productivity, data accuracy, and customer support.
Gemini AI Tool Review
Gemini offers accurate, real-time responses by drawing from Google’s extensive data sources. Its unique strengths lie in tasks that require up-to-date or dynamic information, making it ideal for users needing real-time data for tasks, market insights, or research.
Power Levels
Usability: ★★★★☆
Gemini’s seamless integration with Google’s suite of tools makes it user-friendly, especially for those already familiar with Google Workspace.
Functionality: ★★★★☆
While adept at providing real-time answers, Gemini can be somewhat limited in generating creative or long-form responses compared to other AI tools.
Relevance: ★★★★★
For roles that rely on live data or specific Google integrations, Gemini is a strong fit, particularly in customer service and research roles across Asia.
Free vs. Paid Versions
Gemini is available as a free tool within Google’s ecosystem, accessible via Workspace. While Google has yet to announce a premium version, future tiers may offer enhanced capabilities for advanced users or enterprise environments.
Pros and Cons
Pros:
- Real-time data access, ideal for up-to-date insights
- Seamless integration with Google Workspace and other Google tools
- High accuracy and reliability in information-driven tasks
Cons:
- Limited creativity and flexibility for narrative tasks
- Lacks advanced functionality available in paid AI models
Competitor Comparison
When compared with ChatGPT and Claude, Gemini’s strength lies in its real-time data access. ChatGPT offers more versatility and creative flexibility, while Claude excels in maintaining a safe, conversational tone.
Tool Strengths Drawbacks Gemini Real-time data, Google integration Limited creativity ChatGPT Versatility, creativity Paid tier for optimal performance Claude Safe conversational tone Limited technical depth
Practical Applications in Asia
Gemini’s real-time capabilities are valuable for roles requiring current data, such as market research, competitive analysis, and content planning. Customer support teams in Asia can also use Gemini for up-to-date product information, FAQs, and more.
Privacy and Security Considerations
Built with Google’s robust privacy standards, Gemini aligns with global data protection requirements, ensuring users benefit from secure, trustworthy data access.
Tips for Best Results
To optimise Gemini’s performance, focus on requests requiring current information. For creative content, simpler, fact-based prompts work best.
Get Started: Quick Prompts to Explore Gemini
Prompt: Market Analysis
This prompt leverages Gemini’s strength in accessing up-to-date data, making it ideal for users who need current market information for decision-making.
“Provide real-time market insights on [technology trends in Asia].”
Prompt: Customer Service
Gemini’s real-time data capabilities allow it to provide accurate responses for customer queries on recent updates, improving the relevance and quality of customer support.
“Generate a response for a customer asking about [latest product updates].”
Prompt: Competitive Analysis
This prompt allows users to gain timely insights into competitor activities, useful for strategic planning and staying ahead in competitive markets.
“Identify recent news on [top competitors in e-commerce].”
Prompt: Data Research
By accessing recent data, Gemini can generate summaries that are useful for market research, reporting, and decision-making across industries.
“Summarise current statistics on [digital advertising in Southeast Asia].”
Prompt: Product Info
This prompt takes advantage of Gemini’s integration with Google, providing users with accurate, updated information on Google’s tools for product knowledge and training.
“Give an overview of [Google’s AI tools] with recent updates.”
Visuals and Screenshots
Here’s a screenshot showcasing Gemini’s interface, highlighting its seamless, Google-driven experience.
Interactive Tool Section
To try Gemini, visit Google’s Gemini page. Start by asking a real-time question, and see how Gemini responds with up-to-date information.
Final Thoughts and Recommendations
Gemini’s unique advantage in real-time data access makes it an excellent tool for research, customer service, and productivity roles in Asia. For professionals needing current information and integration with Google, Gemini is a reliable choice.
Join the Conversation
Have you tried Claude? Share your thoughts and experiences in the comments below. If you Have you tried Gemini? Share your experiences or tips in the comments below. If you have questions about getting started, we’d love to hear from you! Don’t forget to subscribe for updates on AI and AGI developments and comment on the article in the section below. Subscribe here.
You may also like:
- AI Unleashed: Discover the Power of ChatGPT
- Mastering ChatGPT in Asia: 7 Simple Steps
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