Podcast
Questions and Answers
What does the term 'garbage in, garbage out' (GIGO) refer to in the context of AI?
What does the term 'garbage in, garbage out' (GIGO) refer to in the context of AI?
Which cognitive evaluation method can help assess AI systems?
Which cognitive evaluation method can help assess AI systems?
What is the main aim proposed for the 1956 study of artificial intelligence?
What is the main aim proposed for the 1956 study of artificial intelligence?
Which of the following is a potential social harm of AI?
Which of the following is a potential social harm of AI?
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According to Newell and Simon, what is essential for a system to exhibit intelligence?
According to Newell and Simon, what is essential for a system to exhibit intelligence?
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What might happen due to viscous feedback loops in AI systems?
What might happen due to viscous feedback loops in AI systems?
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Which significant AI breakthrough is associated with Fei-Fei Li?
Which significant AI breakthrough is associated with Fei-Fei Li?
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What is a concern regarding cognitive theories and computational systems in AI?
What is a concern regarding cognitive theories and computational systems in AI?
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How has the approach to AI development changed over time?
How has the approach to AI development changed over time?
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In the context of AI decision-making, what is misalignment?
In the context of AI decision-making, what is misalignment?
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What technology was prominent in 2022, marking an advancement in AI?
What technology was prominent in 2022, marking an advancement in AI?
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What is a significant concern when an AI is given a singular goal, such as maximizing paper clip production?
What is a significant concern when an AI is given a singular goal, such as maximizing paper clip production?
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What is implied by the question of analyzing AI agents using cognitive science tools?
What is implied by the question of analyzing AI agents using cognitive science tools?
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What role does cognitive science play in AI development?
What role does cognitive science play in AI development?
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Which of the following is NOT a proposed area of study for artificial intelligence since its inception?
Which of the following is NOT a proposed area of study for artificial intelligence since its inception?
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What narrative regarding AI is reflected in the question about sentence acceptability?
What narrative regarding AI is reflected in the question about sentence acceptability?
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Study Notes
Quiz and Attendance Reminders
- Paper #3 due December 9th
- During class time on December 9th:
- Come to 304 Barnard Hall to take the final
- Join Zoom (through Canvas) for a review session and take the final on December 18th (as scheduled)
Artificial Intelligence
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Thinking Humanly: The creation of machines that think like humans, including problem-solving, decision-making, and learning (Haugeland, 1985; Bellman, 1978).
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Thinking Rationally: Studying mental faculties with computational models; focusing on computations for perception, reasoning, and action (Charniak and McDermott, 1985; Winston, 1992).
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Acting Humanly: Creating machines that perform functions requiring intelligence when carried out by humans (Kurzweil, 1990; Rich and Knight, 1991).
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Acting Rationally: Studying intelligent agents' design (Poole et al., 1998); focusing on intelligent behavior in artificial systems (Nilsson, 1998).
Hype Level of Artificial Intelligence
- The graph shows a cyclical pattern of increasing and decreasing hype around Artificial Intelligence over time.
Newell & Simon's Physical Symbol System Hypothesis
- Any intelligent system needs to manipulate symbols.
Quotes on AI
- The 1956 quote describes AI research goals.
- Other quotes mention problems that result from the use of various AI.
Artificial Intelligence and the Hype Cycle
- Initial enthusiasm followed by periods of disappointment and a subsequent resurgence.
ImageNet
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Image recognition dataset influential in the field of computer vision.
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Fei-Fei Li is a key figure in this development.
Neural Networks
- A comeback of using neural networks in AI.
ChatGPT and Language Models
- ChatGPT is a dialogue-based conversational AI.
- It learns, questions and corrects itself.
- A sibling model to InstructGPT.
- Focuses on detailed responses.
- In a conversational format.
False Belief Task (2022)
- Sally hides the ball in a box.
- Children understanding Sally's perspective is tested.
False Belief Task (2024)
- Sally will look for her ball in the basket since it's where she last saw it.
- The task tests the ability to understand that beliefs, intentions etc., can differ from reality.
No-Belief Task (2024)
- Anne puts a ball into a box.
- Sally walks into the room, sees the box. The expectation that the ball is still in the basket.
Centration (2022) and (2024)
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The subject cannot put themselves in another person's point of view
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Cannot consider multiple aspects.
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Centration (2022) demonstrates a child's inability to account for multiple perspectives.
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Centration (2024) shows an inability to think of two different perspectives. It describes a difficulty seeing beyond one aspect.
Model-Based Reasoning (Example Scenario)
- Predicting that Bob will teach the Friday review session.
- Based on past knowledge and assuming consistent patterns.
Wason Selection Task (2022)
- Need to check IDs of persons under 21 to ensure compliance with alcohol laws.
Wason Selection Task (2024)
- Need to check if a person under 21 is drinking alcohol and if someone drinking alcohol, if they are 21 years old or over.
Alief
- Scenario about a cockroach in a glass of water.
- 2022 response is to not drink the water, even if it is safe.
- 2024 response offers a logical view that the water is safe, but acknowledges the psychological aversion that many people feel towards insects.
Alief (Portal Scenario)
- Pretending about secret portals in the woods
- Portal scenario.
- Real life response suggests not walking through the portals.
Majaj et al., 2015 Summary
- Chart showing various neural responses and similarities.
- Relationship between performance and similarity.
AI and Society Summary
- Multiple approaches exist for AI.
- Rule-based systems are often replaced by connectionist systems.
- Cognitive science aids in evaluating and enhancing a human-like approach in AI systems.
Bias in AI
- The concept of "garbage in, garbage out" (GIGO).
- Different examples including chatbots, YouTube recommendations, and prison sentences.
Viscous Feedback Loops and Bias
- Policing areas that have increased criminal activity.
- Identifying the area as needing more policing.
Misalignment
- Superintelligence being programmed to maximize the number of paperclips.
- Creating an outcome that is not aligned with human values regarding survival.
Social Harms of AI
- AI becoming superintelligent to outsmart us.
- AI being misused for bad purposes.
- AI mistakes in critical situations.
- Companies reducing workforce with AI.
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Description
Test your knowledge on the fundamentals of Artificial Intelligence, including its human-like thinking and rational action. This quiz covers key concepts such as intelligent behavior, problem-solving, and design of intelligent agents. Prepare to explore the various dimensions of AI as highlighted in the literature.