Breaking Down Artificial Intelligence (AI) Misconceptions

Course Overview

Artificial intelligence (AI) has been becoming more popular in today’s society, which has led to AI playing a larger role in everyday life, education, and workplaces. Despite the increased use of these AI tools, research shows that many people hold inaccurate understandings of what AI is and how it works. AI refers to computational systems designed to perform tasks that typically require human intelligence, such as recognizing patterns, making predictions, or classifying information. However, these systems do not possess consciousness, intent, or independent understanding, and instead operate through algorithms trained on large datasets (Bewersdorff et al., 2023).

Through social media and advertisements, the capabilities of AI tools are often exaggerated, which has led to confusion and unrealistic expectations (de Saint Laurent, 2018). One common misconception is that AI systems think and understand in the same way that humans do. In reality, AI relies on statistical processes rather than human reasoning. A second misconception is that AI is neutral and unbiased, when in fact systems can reproduce biases present in their training data (Antonenko & Abramowitz, 2022).

This learning resource is designed for high school and post-secondary students who are beginning to become curious or use AI tools in their academic work. Learners may rely on AI without fully understanding its limitations, which can lead to over trust in the outputs generated by AI (Antonenko & Abramowitz, 2022; de Saint Laurent, 2018). Due to these misconceptions, developing AI literacy is increasingly important in educational contexts. Helping learners understand both the capabilities and limitations of AI can support more responsible and critical engagement with these tools.

Learning Objectives

By the end of this module learners will be able to:

1. Explain how artificial intelligence can sometimes generate incorrect or misleading information
   
2. Apply fact checking strategies such as the SIFT method and lateral reading to evaluate online information
   
3. Use verification tools to investigate whether images videos or claims online are trustworthy

These objectives focus on building AI literacy and digital literacy skills. As AI tools become more common it is important for learners to understand that the information generated by these systems is not always accurate and should be checked carefully (MediaSmarts n.d.).

Understanding AI and Misinformation

Artificial intelligence systems generate responses by predicting patterns from the data they were trained on. This means that AI does not actually understand whether information is true or false. Because of this AI systems can sometimes produce answers that sound confident making you believe it’s right but may contain mistakes or misleading details.

Research shows that many people misunderstand how AI systems work. Some people assume that AI tools always provide correct answers which can lead to over trusting the information they generate (Antonenko & Abramowitz 2022). Other research reviewing common beliefs about artificial intelligence also shows that there are many myths about what AI can do and how reliable it is (Bewersdorff et al. 2023).

Understanding these limitations and how AI works is important when learning how to use AI responsibly. Developing AI literacy helps learners think more critically about the information they see online and recognize when something should be fact checked (de Saint Laurent 2018).

Fact Checking and Verification

One useful method for checking information online is the SIFT method created by Mike Caulfield (2019). This method encourages people to pause and check information before trusting or sharing it.

The four steps of SIFT include:

1. Stop and take a moment before reacting to the information
2. Investigate the source of the information
3. Find better coverage from other reliable sources
4. Trace claims back to their original source

Another strategy is called lateral reading. This means opening other websites (Another AI for example) or sources to see what they say about a claim instead of relying only on the page where the information was first found (Stanford History Education Group n.d.).

These strategies help people verify information more effectively and avoid spreading misinformation online.

Using Verification Tools

In addition to critical thinking strategies learners can also use digital tools to verify online content.

For example Google Reverse Image Search allows users to upload an image or paste an image link to find where that image has appeared online before. This can help determine if an image has been taken from another event or used in a misleading context.

Another tool called TinEye also allows users to perform reverse image searches to track the original source of an image.

The InVID Verification Plugin can help analyze images or videos and provide additional information about where the media may have come from.

Learning how to use these tools helps learners practice real world skills for checking the reliability of online information before using them themselves.

Interactive Learning Activities

Activity 1 AI Fact or Fiction

Objective addressed
 Explain how artificial intelligence can generate misleading information.

In this activity learners read several short pieces of AI generated text. Some examples are accurate while others contain incorrect or misleading details.

Learners decide which statements seem trustworthy and explain why they think the information is correct or questionable.

This activity helps learners see that AI generated content can sound convincing even when it contains errors which is something researchers have identified as a common misconception about AI systems (Antonenko & Abramowitz 2022).

Activity 2 SIFT Fact Checking Challenge

Objective addressed
 Apply fact checking strategies such as SIFT and lateral reading.

Learners are given an online claim article or social media post. They apply the SIFT method to investigate the information.

Students identify the source then check whether the source is reliable and look for other coverage of the claim and trace the claim back to its original context.

Learners then write a short explanation describing what they found and whether they think the information is trustworthy.

This activity helps learners practice the fact checking process described by Caulfield (2019)

Activity 3 Image Verification Investigation

Objective addressed
Use verification tools to investigate digital media.

Students then explain what they discovered and whether the image appears trustworthy.

This activity helps learners apply verification tools that are commonly used by journalists, researchers and fact checkers when analyzing online content.

Assessment Plan

To evaluate student understanding of artificial intelligence misconceptions, both formative and summative assessments will be used.

Formative assessment will take place throughout the learning activity. Students will engage with short reflection prompts and interactive questions embedded in the learning materials. These activities encourage learners to think critically about common misconceptions about AI and check their understanding while progressing through the content. Informal discussion or comment responses can also help learners articulate their ideas and learn from others.

Summative assessment will occur at the end of the lesson. Students will complete a short task where they explain one common misconception about AI and describe the correct concept using examples from the lesson. This task allows learners to demonstrate their understanding of the topic and apply what they have learned.

Feedback

Feedback will be provided in multiple ways to support student learning. Immediate feedback may be given through automated responses in interactive activities so students can quickly identify misunderstandings. In addition, instructor or peer feedback can be provided through comments on student responses or discussion posts.

Providing feedback in different forms allows students to reflect on their thinking and improve their understanding of AI concepts.

Technology Rationale 

This learning resource uses a website format to organize the content and learning activities. The website allows information to be presented in multiple formats such as text, visuals, and interactive elements, which can support different learning preferences.

Using an online platform also makes the resource easily accessible for students and allows them to engage with the material at their own pace. Interactive tools and embedded media help increase engagement and encourage active learning rather than passive reading.

Inclusion and Universal Design for Learning (UDL)

This resource is designed with principles from Universal Design for Learning (UDL) to support diverse learners. UDL emphasizes providing multiple means of representation, engagement, and expression (CAST, 2018).

First, the resource presents information through different formats such as written explanations and visual elements to help learners better understand complex ideas about artificial intelligence. Second, learners are encouraged to engage with the content through reflection questions and activities that promote active participation. Finally, students are given opportunities to express their understanding through written responses or discussions.

Accessibility considerations are also included, such as clear language, structured headings, and readable formatting to make the material easier to navigate.

References

Antonenko, P., & Abramowitz, B. (2022). In-service teachers’ misconceptions of artificial intelligence in K–12 science education. Journal of Research on Technology in Education, 54(5), 734–758. https://doi.org/10.1080/15391523.2022.2119450

Bewersdorff, A., Zhai, X., Roberts, J., & Nerdel, C. (2023). Myths, mis- and preconceptions of artificial intelligence: A review of the literature. Computers and Education: Artificial Intelligence, 4, 100143. https://doi.org/10.1016/j.caeai.2023.100143

Caulfield M. (2019). SIFT The four moves for fast and effective fact checking.
https://hapgood.us/2019/06/19/sift-the-four-moves/

de Saint Laurent C. (2018). In defence of machine learning debunking the myths of artificial intelligence. Europe’s Journal of Psychology 14(4) 734–747. https://ejop.psychopen.eu/index.php/ejop/article/view/1823

MediaSmarts. (n.d.). Digital literacy and misinformation resources.
https://mediasmarts.ca/

Stanford History Education Group. (n.d.). Civic online reasoning curriculum.
https://cor.inquirygroup.org/curriculum/?tab=collections