Develop essential data science & ai skills with expert instruction and practical examples.
The course is divided into 7 lectures and 6 chapters. The first chapter introduces the course by giving basics of Artificial Intelligence (AI) and its popularisation in the 4th & 5th Industrial Revolution. It gives an overview of the types of AI i.
e. weak AI & deep learning and what stage it interacts with Intellectual Property Rights (IPR). Chapters two to four discuss the scope of protection of AI technology under the Patent Law, Copyright Law & Trade Secret law.
It also covers ownership and authorship of AI for AI related inventions or work. Moving forward, chapter five examines different aspects of infringement by AI & liability for losses caused by AI related technology, including autonomous vehicles. It also dwells upon the principles of limitation of liability by companies dealing in software and technology and the principle of creative commons.
Lastly chapter six discusses the way forward in terms of utility provided by AI & dangers posed by AI. The entire course interprets intellectual property law on a comparative basis and analysis the jurisdictions of the United States, European Union, United Kingdom & India. Some interesting takeaways from the course are digital gaming and copyright protection to gaming software and self-driving vehicles and protection under trade secret law.
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