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ChatGPT & Generative A.I.
Warning!
***Please note that A.I. detectors are not always reliable or accurate. The detectors listed are to provide resources for educational purposes.***
"Even though AI detectors do not work, that doesn't mean a human can never detect AI writing. For example, a teacher familiar with a student's typical writing style can tell when their style or capability suddenly changes. Also, some sloppy attempts to pass off AI-generated work as human-written can leave tell-tale signs, such as "A.I. language model," meaning someone copied and pasted ChatGPT output without being careful. Recently, an article in the scientific journal Nature showed how humans noticed the phrase "Regenerate response" in a scientific paper, which is the label of a button in ChatGPT" (Text adapted from Benj Edward's article OpenAI confirms A.I. that AI writing detectors don't work).
AI & DeepFake Detectors
- AI Writing CheckEducators, AI Writing Check, is a free service developed by Quill.org and CommonLit.org to enable educators to check if a piece of writing submitted by a student was written by the AI tool ChatGPT. This algorithm is designed to detect AI-generated paper.
- Content at ScaleThe ChatGPT detector works more profoundly than a generic AI classifier, detecting robotic-sounding content.
- CopyleaksPaste your content below, and we’ll tell you if any of it has been AI-generated within seconds with exceptional accuracy.
- CrossplugOur plagiarism detection tool helps students, teachers, writers, and bloggers ensure originality in their work by comparing each writing with more than 100 billion texts worldwide.
- DeepFake-O-MeterAn open platform integrating state-of-the-art DeepFake Detection methods.
- DeepfakeProofDeepfakeProof is a free browser extension that utilizes advanced deep fake detection technology to prevent the spread of deep fake-manipulated images online (Tip: Use in Chrome).
- GLTRGiant Language Model Test Room (GLTR for short) is a detection tool that uses “a suite of baseline statistical methods that can detect generation artifacts across common sampling schemes.”
- GPTZeroDetect ChatGPT, GPT3, GPT4, Bard, and other AI models.
- Hugging FaceHugging Face, Inc. is an American company that develops tools for building applications using machine learning. It is most notable for its transformers library built for natural language processing applications and its platform that allows users to share machine learning models and datasets.
- Kazan SEOThis neat toolkit has features outside of AI detection, including a content generator, a tool for discovering and researching keywords, URL text extraction for SEO analysis, and co-relational content optimization.
- Originality.AIThe most accurate Chat GPT and GPT-4 AI detector explicitly built for content marketers and SEOs (Note: Fee-based).
- Sapling AIAI-generated text, also known as machine-generated text or automated text, is a product of natural language processing techniques that enable machines to mimic human language patterns and generate text. The benefits of AI-generated text include its ability to save time and resources by automating repetitive writing tasks and producing large volumes of content quickly. While AI-generated text can offer many benefits it is essential to be mindful of its limitations and potential risks when using it for specific purposes.
- TurnitinAI writing tools are developing rapidly, and so is Turnitin’s technology to detect these emerging forms of misconduct. Recently, we shared with you that we have technology that can detect AI-assisted writing and AI writing generated by tools such as ChatGPT. Today, we want to introduce you to our AI Innovation Lab to give you a first-hand glimpse of what our technology (in development) can do.
- Undetectable AIUse our AI detector to check if your text will be flagged as AI-written content. Then, click 'humanize' to remove AI detection and ensure your text will bypass all major AI detectors. Our AI text humanizer does this by enhancing your content to match the quality of human writing.
- Winston AIWinston AI is the industry leading AI content detection tool to help check AI content generated with ChatGPT, GPT-4, Google Gemini and many more Large Language Models.
- WriterAI content detection is only available in the Writer app as an API and is limited to checks of 1,500 characters at a time.
Bias & Fake Citations
Bias and artificial hallucination (fake citations/references - references created by A.I.) exist within all A.I. You'll have to use A.I. literacy to double-check your citations if you use any generative A.I. for your research.
A.I. literacy includes:
- The ethical use of A.I. (why and when, and awareness of issues such as data ownership, privacy, legality, and hidden labor),
- Knowledge of A.I. affordances (what are the capabilities and limitations of each A.I. tool; A.I. over 1000 AI tools are available),
- How to work effectively with A.I. tools (A.I. has how to formulate practical questions, construct good prompts, called "prompt engineering" and refinement strategies),
- How to evaluate the output (thinking, critique, and evaluative judgment are essential skills regardless), and finally,
- Use and integrate these tools into your practices for study and work purposes. (Source: Mathew Hillier, Why does ChatGPT generate fake references? 2023)
Image Credit: McKinsey & Company, 2019
- AI Bias - What Is It and How to Avoid It?Algorithms are not neutral when weighing people, events, or things differently for various purposes. Therefore, we must understand these biases to develop solutions to create unprejudiced AI systems. This article will discuss what AI bias is, the types of AI bias, examples, and how to reduce the risk of AI bias.
- AI Literacy, ExplainedThe technology poured accelerant on a conversation already underway: Now that AI is shaping nearly every aspect of our lives and is expected to transform fields from medicine to agriculture to policing, what do students need to understand about AI to be prepared for the world of work? To be a smart consumer and a responsible citizen?
- Deepfakes, Synthetic Media and Generative AIWITNESS helps people use video and technology to protect and defend human rights. Our Technology Threats and Opportunities Team engages early on with emerging technologies that have the potential to enhance or undermine our trust on audiovisual content. Building upon years of foundational research and global advocacy on synthetic media, we’ve been preparing for the impact of AI on our ability to discern the truth. In consultation with human rights defenders, journalists, and technologists on four continents, we’ve identified the most pressing concerns and recommendations on what we must do now.
- Humans Absorb Bias from AI—And Keep It after They Stop Using the AlgorithmPeople may learn from and replicate the skewed perspective of an artificial intelligence algorithm, and they carry this bias beyond their interactions with the A.I.
- Shedding light on AI bias with real world examplesAs companies increase their use of artificial intelligence (AI), people are questioning the extent to which human biases have made their way into AI systems. Examples of AI bias in the real world show us that when discriminatory data and algorithms are baked into AI models, the models deploy biases at scale and amplify the resulting negative effects.
- Tackling bias in artificial intelligence (and in humans)AI has the potential to help humans make fairer decisions—but only if we carefully work toward fairness in AI systems as well.
- There’s More to AI Bias Than Biased Data, NIST Report HighlightsRooting out bias in artificial intelligence will also require addressing human and systemic biases.
- Three fixes for AI's bias problemEverywhere there's artificial intelligence, there's the risk of it amplifying the beliefs of the people who created it. Research from UC is pinpointing tech bias and proposing solutions.
- A Unified Framework of Five Principles for AI in SocietyArtificial Intelligence (AI) is already having a significant impact on society. As a result, many organizations have launched a wide range of initiatives to establish ethical principles for adopting socially beneficial AI. Unfortunately, the sheer volume of proposed regulations threatens to overwhelm and confuse. How might this problem of ‘principle proliferation’ be solved? In this paper, we report the results of a fine-grained analysis of several of the highest-profile sets of ethical principles for AI.
- What Do We Do About the Biases in AI?Over the past few years, society has wrestled with how much human biases can make their way into artificial intelligence systems—with harmful results. At a time when many companies are looking to deploy AI systems across their operations, being acutely aware of those risks and working to reduce them is an urgent priority. What can CEOs and their top management teams do to lead the way on bias and fairness? Among others, we see six essential steps: First, business leaders must stay up to date on this fast-moving field of research. Second, when your business or organization deploys AI, establish responsible processes that can mitigate bias. Consider using a portfolio of technical tools and operational practices such as internal “red teams” or third-party audits. Third, engage in fact-based conversations around potential human biases.
- What is AI Literacy? A Comprehensive Guide for BeginnersExplore the importance of AI literacy in our AI-driven world. Understand its components, its role in education and business, and how to develop it within organizations.
- Why does ChatGPT generate fake references?It is uncovering the ingredients that go into robotic porkie pies and some possible sweet desserts at the end.
MCCC Policy
Things to Keep in Mind:
1. You are discouraged from using AI tools unless you are under the professor's direct instruction. Please get in touch with your professor if you are unsure or have questions before using AI for any assignment.
2. If AI is permitted to be used, you must indicate what part of the assignment was crafted by AI and what your work was. If you have received permission, no more than 25% of a project should be created with AI.
3. You may not submit any work generated by an AI program as your own. Suppose you include material generated by an AI program. In that case, it should be cited like any other reference material (with due consideration for the quality of the reference, which may be poor).
4. Since writing, analytical, and critical thinking skills are part of the learning outcomes of this course, all writing assignments should be prepared by the student. Developing strong competencies in this area will prepare you for a competitive workplace. Therefore, AI-generated submissions are not permitted and will be treated as plagiarism. The Code of Ethics is important, and plagiarism is a severe offense at MCCC.
5. Some student work may be randomly submitted to AI or plagiarism detection tools to ensure it is human-created. Submitting AI-generated answers constitutes plagiarism and violates the MCCC Student Code of Ethics. Using these tools without permission puts your academic integrity at risk. (Text adapted from Addendum to Syllabus Template created by Tracy Kaiser-Goebel in 2023).