All open positionsApply for this subject
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)
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.
Apply for Introduction to Artificial Intelligence and Ethics
- 1Your details
- Demo video