8th Grade AI Logic Breach Quiz (Hard) Arbeitsblatt • Kostenloser PDF-Download mit Antwortschlüssel
Deconstruct 10 complex scenarios involving algorithmic bias, heuristic search architectures, and the ethical dilemmas of reinforcement learning.
Pädagogischer Überblick
This quiz assesses student understanding of foundational artificial intelligence concepts including ethical decision-making, machine learning architectures, and algorithmic transparency. The assessment utilizes a critical thinking approach where students must deconstruct complex scenarios to differentiate between statistical probability and human-like cognition. It is designed for use as a summative assessment or a high-level cognitive challenge during units focusing on digital citizenship, data science, or the social impacts of technology.
Entzog Ihnen dieses Arbeitsblatt? Erstellen Sie in einem Klick Ihr eigenes Arts And Other Computer Science And Technology Artificial Intelligence Ai Arbeitsblatt.
Erstellen Sie ein individuelles Arbeitsblatt, das auf die Bedürfnisse Ihres Klassenzimmers zugeschnitten ist, mit nur einem Klick.
Erstellen Sie Ihr eigenes ArbeitsblattWas die Schüler lernen werden
- Differentiate between Artificial General Intelligence (AGI) and narrow machine learning architectures.
- Analyze the ethical implications of the alignment problem and utilitarian frameworks in autonomous systems.
- Identify technical causes of AI failure such as overfitting, hallucinations, and algorithmic bias.
All 10 Questions
- In the context of the 'Trolley Problem' applied to autonomous vehicles, which ethical framework focuses on minimizing total harm by prioritizing the lives of the many over the few?A) Deontological EthicsB) Virtue EthicsC) UtilitarianismD) Nihilism
- Large Language Models (LLMs) possess 'Artificial General Intelligence' (AGI) because they can reason across multiple domains with human-level consciousness.A) TrueB) False
- Which term describes the 'invisible' process where an AI model identifies patterns in data that humans cannot explain or trace, often leading to transparency issues?A) Open Source LogicB) Black Box EffectC) Linear RegressionD) Data Cleaning
Show all 10 questions
- An AI is trained to recognize pneumonia in X-rays but fails when used at a different hospital because it learned to identify a specific hospital's watermark instead of medical features. This is an example of:A) OverfittingB) Supervised LearningC) Natural Language ProcessingD) Edge Computing
- In Reinforcement Learning, the system learns through a process of 'Trial and Error' by maximizing which specific variable?A) Input Data VolumeB) The Reward SignalC) Processor Clock SpeedD) User Feedback Loops
- If an AI hiring tool systematically rejects resumes with feminine-coded words because it was trained on 20 years of male-dominated hiring data, the model is suffering from ________.A) Hardware LatencyB) Algorithmic BiasC) Cyber-Physical MisalignmentD) Encryption Error
- A 'Generative Adversarial Network' (GAN) consists of two neural networks—a generator and a discriminator—that compete against each other to create realistic data.A) TrueB) False
- Which of the following is the most significant challenge regarding the 'alignment problem' in AI development?A) Matching the AI's speed to the user's internet connectionB) Ensuring an AI's goals match human values and intentionsC) Aligning the pixels in a computer vision modelD) Converting hardware components to be carbon neutral
- When an AI hallucination occurs, what is actually happening within the large language model?A) The computer has caught a virusB) The AI is purposely lying to the userC) The model generates a statistically likely but factually wrong outputD) The internet connection was lost during processing
- Symbolic AI (GOFAI) relies on pre-programmed 'if-then' rules rather than learning from massive datasets like modern Machine Learning.A) TrueB) False
Try this worksheet interactively
Try it nowVerwenden Sie diese Arbeitsblätter in Ihrem Klassenzimmer, sie sind komplett kostenlos!
Probiere dieses Arbeitsblatt ausArbeitsblatt bearbeitenAls PDF herunterladenLade den Antwortschlüssel herunterZur Bibliothek hinzufügen
Füge dieses Arbeitsblatt zu deiner Bibliothek hinzu, um es zu bearbeiten und anzupassen.
Häufig gestellte Fragen
Yes, this AI Logic Breach Quiz is a great choice for a substitute plan in a computer science or media literacy class because it features self-contained scenarios and a detailed explanation for every answer.
Most eighth-grade students will need approximately twenty to thirty minutes to carefully read the scenarios and complete this AI Logic Breach Quiz, depending on their prior exposure to computer science terminology.
This AI Logic Breach Quiz is specifically designed as a high-rigor challenge for advanced learners, but teachers can differentiate by allowing students to work in pairs to discuss the complex ethical dilemmas presented in the questions.
While labeled for grade eight, this AI Logic Breach Quiz is developmentally appropriate for any middle or high school student who is exploring the social and technical implications of machine learning.
You can use this AI Logic Breach Quiz as a diagnostic pre-assessment to gauge student understanding of algorithmic bias and the black box effect before beginning a deeper unit on computer science ethics.
Ähnliche Arbeitsblätter
Mehrfachauswahl-Quiz • Klasse pre-k
Mehrfachauswahl-Quiz • Klasse 2
Mehrfachauswahl-Quiz • Klasse 9
Mehrfachauswahl-Quiz • Klasse 1