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IPU B.Tech

Introduction to Artificial Intelligence and EthicsARM 208

Record the lectures for this subject. We provide the notes and study material.

Branch

AIML

Semester

4

Submit within

3-4 weeks

Pay

Upto 1500-2000 (Based on Hrs of recording)

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About the work

  • We give you the syllabus below and a sample notes PDF to record from. The notes unlock once you fill in your details in the form.
  • You send back a link to an unlisted YouTube video or a Drive video of yourself teaching from those notes. Nothing to upload here.
  • Selected educators have 3-4 weeks to submit the full recording.
  • Payment for the subject: Upto 1500-2000 (Based on Hrs of recording).
  • Shortlisted applicants are contacted by our team with the next steps.

Subject syllabus

Exactly what you would be recording.

Unit I
Introduction to Artificial Intelligence: AI problems. Foundation of AI and history of AI, Intelligent agents: Agents & Environments.The concept of rationality, the nature of environments, structure of agents, problem solving agents, problem formulation, Hard and Easy problem in AI, Problem characteristics and production system

Unit II
Searching: Searching for solutions, Uninformed search strategies- Breadth First search, depth first search, depth first iterative deepening, bi directional search. Heuristic search strategy-Hillclimbing, best first search, A*, AO* algorithms. Game Playing-Adversarial search, Games,Mini-max algorithm,alpha-beta pruning.Local search algorithms and optimization problems.

Unit III
Knowledge Representation: Approaches in knowledge representation, Issues in knowledge representation, Predicate logic, propositional logic, Procedural versus declarative knowledge, Logic programming, forward versus backward reasoning, resolution.
Symbolic reasoning under uncertainty:Non monotonic reasoning, Logic for non monotonic reasoning Statistical reasoning: Certainty factors& rule-based systems, Probability & Bayes' theorem, Bayesian networks, Dempster-Shafer-Theory Advanced topics in Artificial Intelligence: Introduction to neural network, Fuzzy logic and Expert systems, Genetic algorithms, Introduction to Natural Language Processing (NLP), Introduction to nature inspired computing-ACO, ABC algorithms.

Unit IV
Introduction to Ethics: Background of the Field, AI & Robotics, Review on Policy, Privacy & Surveillance, Manipulation of Behavior,Opacity of AI Systems, Bias in Decision Systems, Human-Robot Interaction, Deception & Authenticity Robotics case studies, The Effects of Automation on Employment, Autonomous Systems, Autonomous Vehicles, Autonomous Weapon, Ethics for AI & Robotics,Responsibility for Robots, Rights for Robots, Singularity: Singularity and Superintelligence, Existential Risk from Superintelligence, Controlling Superintelligence.

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