Author: Chapati Meghana, Sri Padmavathi mahila Vishwa Vidhayalayam
To the point
Artificial intelligence ( AI) is a technology that allows machines to learn, reason, and act in ways that mimic human intelligence. AI is a board field that includes may disciplines , such as computer science , data analytics , and neuroscience.
The father of artificial intelligence is JOHN MC CARTHY. he was a scientist and cognitive scientist who coined the term “ artificial intelligence in 1956”.
How does AI work
AI system learn by analysing large amount of data to identify pattern and relationship .
AI uses algorithm to make decisions and anlayze data.
AI can be used to make predictions, recommendations and decisions.
Example of AI : self driving cars, chess playing computers.
Use of legal jargon
Artificial intelligence and the law
Section 1 : introduction to AI and laws
Define AI and it’s applications
The impact of AI on society and economy.
Section 2 : AI and liability
Strict liability: it is a concept of AI related cases.
Negligence : discussing the role of principles to AI related litigation.
Product liability: The principles of product liability principles to AI system.
Regulating Artificial intelligence :
Section 1 : introduction to AI Regulation: exploring the need for AI regulation.
Current regulatory framework: examing existing regulatory framework for AI.
Section 2 : AI and data protection
GDPR and AI : analyse the application of GDPR
CCPA and AI : AI development and deployment in AI system.
Data protection principles: it is a data protection AI systems.
Section 3 : AI and safety.
Safety standard : The development of safety standard for AI system.
Risk assessment: it is a risk for a AI development.
Here are some key points related to the proof of artificial intelligence:
Types of Proof
1. Mathematical Proof: A formal, mathematical demonstration of an AI system’s capabilities or limitations.
2. Empirical Proof: Evidence-based demonstration of an AI system’s performance or effectiveness through experiments or testing.
3. Logical Proof: A logical, step-by-step argument demonstrating the validity or soundness of an AI system’s reasoning or decision-making.
Proof of AI Capabilities
1. Turing Test: A test of a machine’s ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human.
2. Chess and Games: AI systems have demonstrated superhuman performance in various games, such as chess, Go, and poker.
Abstract
Artificial intelligence have a 2 types:
Types of AI
Narrow AI: AI trained to perform specific tasks . Ex : include virtual assistants.
General AI : AI that can perform any intellectual task that a human being.
Benefits of AI :
Automation of repetitive tasks .
More and faster insight from data.
Enchanced decision making.
Fewer human error.
24*7 avaliblity
Reduced physical risks .
AI uses cases:
Customer experience, service and support.
Fraud detection
Personalised marketing.
Human resources and recruitment.
AI challenges and risks:
Data risks : AI system relates on data sets that might be vulnerable to data poisoning lead to data breaching.
Model risks : Threat actors can target AI model forfeit reverse engineering or unauthorised manipulation.
Operation risk : it is an such model of drift , bias and break downs in the governance structure.
Case laws
United States
1. Google LLC v. Oracle America, Inc. (2020): The Supreme Court held that Google’s use of Oracle’s Java programming language in its place Android operating system constituted fair use.
2. Waymo LLC v. Uber Technologies, Inc.(2018): A court held that Uber had stolen trade secrets related to self-driving car technology from Waymo.
India
1. Justice K.S. Puttaswamy (Retd.) v. Union of India (2017): The Supreme Court of India recognized the right to privacy as a fundamental right under the Indian Constitution, emphasizing the need to safeguard personal data from AI-based systems.
2. Gramophone Company of India Ltd. V. Super Cassettes Industries Ltd. (2011): The Delhi High Court determined that AI-generated music produced by a computer program lacks human creativity and is ineligible for copyright protection.
Conclusion
Artificial intelligence transfers many aspects of life , health care , education, transport and work . AI offers many benefits .AI it is essential to develop and use AI systems responsible with an focus on transperancy , accountability and fairness.
FAQS
1. What is artificial intelligence?
Artificial intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making.
2. How does AI work?
AI systems work by using algorithms and data to make predictions, classify objects, and generate insights.
3. How can we ensure AI safety?
AI safety can be ensured by developing and using AI systems responsibly, testing and validating AI systems, and implementing regulations and standards.r
4. What are the ethical considerations of AI?
AI ethics considerations include transparency, accountability, and fairness.
