Evaluating information

What you can do at this level

• CS1.2.01Implicit AI

  Acknowledge the benefits of a cautious approach in interpreting information and content in digital environments.

• CS1.2.02Implicit AI

  Recognise that some digital information sources and systems may not be trustworthy.

• CS1.2.03Explicit AI

  Recognise that it can be difficult to distinguish between information and content generated by humans and AI systems.

• CS1.2.04Implicit AI

  Recognise examples of misinformation, disinformation, and sources of bias.

• CS1.2.05Implicit AI

  Recognise examples of social media influencing and filter bubbles.

• CS1.2.06Implicit AI

  Make a basic assessment of the reliability and credibility of digital information sources and content.

What you learn at this level

• LO1.2.07SImplicit AI

  Make a basic assessment of the reliability and credibility of digital information sources and content.

• LO1.2.02KImplicit AI

  Distinguish between the source of digital content, and digital content itself.

• LO1.2.01ANo AI reference

  Acknowledge the benefits of a cautious approach in interpreting information and content in digital environments.

• LO1.2.03KImplicit AI

  Recognise that some digital information sources and systems may not be trustworthy.

• LO1.2.04KExplicit AI

  Recognise that it can be difficult to distinguish between information and content generated by humans and AI systems.

• LO1.2.05KImplicit AI

  Recognise examples of misinformation, disinformation, and sources of bias.

• LO1.2.06KImplicit AI

  Recognise examples of social media influencing and filter bubbles.

What you can do at this level

• CS1.2.07Implicit AI

  Identify the source of online information and the purposes of fact-checking services to develop pre-bunking and de-bunking capabilities.

• CS1.2.08Explicit AI

  Recognise that the data used to train AI systems and how they are trained affects the reliability of the information they provide.

• CS1.2.09Explicit AI

  Recognise that some digital technologies, such as AI systems, might function like a 'black box', making it difficult to explain why or how an output has been produced.

• CS1.2.10Explicit AI

  Recognise that AI systems may produce output which is inaccurate, even if it may seem plausible, and that the human using the AI system is responsible for checking the quality and validity of information and content generated.

• CS1.2.11Explicit AI

  Recognise that individual (cognitive and affective) biases and AI system biases play a role in the generation and interpretation of information.

• CS1.2.12Implicit AI

  Recognise and respond effectively to user-directing strategies in digital environments such as clickbait, nudging and gamification.

• CS1.2.13Explicit AI

  Critically assess the reliability of sources, information and content in digital environments, considering the role of AI systems, personalisation effects, and commercial or other interests.

What you learn at this level

• LO1.2.19SImplicit AI

  Apply pre-bunking and de-bunking strategies to discard or discredit unreliable sources and content in digital environments.

• LO1.2.08AImplicit AI

  Acknowledge the benefits of questioning the credibility and reliability of information and content and their sources in digital environments.

• LO1.2.09KImplicit AI

  Recognise potential consequences of misinformation and disinformation in digital environments for oneself and others.

• LO1.2.10KImplicit AI

  Describe methods to identify the source of information found online.

• LO1.2.20SImplicit AI

  Respond effectively to user-directing strategies in digital environments such as clickbait, nudging and gamification.

• LO1.2.21SExplicit AI

  Critically assess the reliability of sources, information and content in digital environments, considering the role of AI systems, personalisation effects, and commercial or other interests.

• LO1.2.11KImplicit AI

  Define the purposes of fact-checking services.

• LO1.2.12KImplicit AI

  Recognise the concepts and purposes of pre-bunking and de-bunking in digital contexts.

• LO1.2.13KExplicit AI

  Recognise that the data used to train AI systems and how they are trained affects the reliability of the information they provide.

• LO1.2.14KExplicit AI

  Recognise that some digital technologies, such as AI systems, may function like a 'black box', making it difficult to explain why or how an output has been produced.

• LO1.2.15KExplicit AI

  Identify examples of human (cognitive, affective) bias and AI system (data, training) bias in relation to the generation and interpretation of information.

• LO1.2.16KExplicit AI

  Recognise that AI systems may produce output which is inaccurate, even if it may seem plausible.

• LO1.2.17KExplicit AI

  Recognise that the humans using an AI system are responsible for checking the quality and validity of information and content generated.

• LO1.2.18KImplicit AI

  Recognise the presence of user-directing strategies in digital environments such as clickbait, nudging and gamification.

What you can do at this level

• CS1.2.14Explicit AI

  Continually scrutinise how AI systems, biases, and various interests shape generation, presentation and interpretation of information in digital environments.

• CS1.2.15Explicit AI

  Describe features of trustworthy digital technologies, such as AI systems.

• CS1.2.16Implicit AI

  Describe personal, social and political consequences of misinformation, disinformation, sources of bias, social media influencing and filter bubbles.

• CS1.2.17Implicit AI

  Thoroughly assess the reliability and accuracy of a diversity of digital sources, information and content, considering a range of potential influencing factors.

• CS1.2.18Implicit AI

  Support others to develop capabilities to assess the credibility and reliability of digital sources, information and content.

What you learn at this level

• LO1.2.23KImplicit AI

  Describe personal, social and political consequences of misinformation, disinformation, sources of bias, social media influencing and filter bubbles.

• LO1.2.26SImplicit AI

  Thoroughly assess the reliability and accuracy of a diversity of sources, information and content in digital environments, considering a range of potential influencing factors.

• LO1.2.22AExplicit AI

  Continually scrutinise how AI systems, biases, and various interests shape generation, presentation and interpretation of information and content in digital environments.

• LO1.2.27SImplicit AI

  Support others to develop their capabilities to assess the reliability of sources, information and content in digital environments.

• LO1.2.24KExplicit AI

  Describe features of trustworthy digital technologies, such as AI systems.

• LO1.2.25KExplicit AI

  Describe methods that can be used to identify deep-fakes.

What you can do at this level

• CS1.2.19Implicit AI

  Systematically assess and evaluate digital sources, information and content to support complex decision-making.

• CS1.2.20Implicit AI

  Help others to develop capabilities to critically evaluate information and content, and resilience to misinformation and disinformation, in digital environments.

• CS1.2.21Implicit AI

  Lead or contribute to initiatives that support accurate interpretation of information in digital environments.

What you learn at this level

• LO1.2.29SImplicit AI

  Systematically assess and evaluate sources, information and content in digital environments to support complex decision-making.

• LO1.2.28AImplicit AI

  Promote and support the development of resilience to misinformation and disinformation in digital environments among individuals and/or groups.

• LO1.2.30SImplicit AI

  Help others to develop capabilities to critically evaluate information and content in digital environments.

• LO1.2.31SImplicit AI

  Lead or contribute to initiatives that support accurate interpretation of data, information, and content in digital environments.