CONTEXT: In 2023, the impact of artificial intelligence (AI) on social and economic relations was significant, attributed to the success of large language models (LLMs), such as ChatGPT, in solving complex tasks. Concerns about the dangers of LLMs and publicly deployed AI systems started to be voiced by both industry and state actors, highlighting potential perils that were previously ignored by the industry.
Recent advancements:
Challenges of such advancements:
Issues with AI regulations:
Guidelines for Ethical and Responsible AI:
Ethical Deployment: Prioritize ethical, transparent, and accountable development and deployment of AI systems. Address biases, ensure privacy and data protection, and establish clear regulations and guidelines.
Research and Innovation: Continue investing in fundamental research for developing new algorithms and models in the rapidly evolving field of AI. Ongoing innovation is crucial for advancing capabilities and achieving breakthroughs.
Data Quality and Accessibility: Focus on improving data collection, cleaning, and labeling processes for effective AI model training. Promote data sharing and accessibility to encourage collaboration across different domains.
Human-AI Collaboration: Design AI systems to augment human capabilities rather than replace them entirely. Emphasize collaboration between humans and AI for more effective solutions, including user-centered design.
Domain-Specific Applications: Identify and prioritize specific domains, such as healthcare, transportation, finance, and education, where AI can have a significant positive impact. Tailor AI solutions to address challenges in these specific fields.
Education and Workforce Development: Prepare the workforce for an AI-driven future through education and upskilling programs. Foster interdisciplinary collaboration and partnerships between academia, industry, and government.
International Collaboration and Standards: Collaborate internationally to share knowledge and best practices in AI development. Establish global standards and frameworks to ensure interoperability, fairness, and security in AI systems' development and deployment.
Advantages of AI:
Artificial Intelligence
AI refers to the capability of a computer or a computer-controlled robot to perform tasks typically carried out by humans, requiring human-like intelligence and discernment. While no AI system can replicate the broad range of tasks performed by a human, certain AI technologies can excel in specific activities.
Key Characteristics & Components: AI's fundamental characteristic is its capacity to reason and make decisions that optimize the likelihood of achieving a particular objective. Machine Learning (ML) is a subset of AI, focusing on systems that can learn and improve from experience. Deep Learning (DL) techniques facilitate automatic learning by processing large volumes of unstructured data, including text, images, or video.
Large Language Models (LLMs):
LLMs are a specific category of generative AI models designed to comprehend and produce human-like text. Constructed using deep learning techniques, especially neural networks, these models can generate coherent and contextually relevant text based on a given prompt or input. A prominent example of LLMs is OpenAI's GPT (Generative Pre-trained Transformer).
Generative AI:
Generative AI is a subset of artificial intelligence focused on developing systems capable of creating content resembling human-produced output.These systems learn from patterns in existing data and utilize that knowledge to generate new, original content in various forms, including text, images, music, and
Global governance of AI
India:
NITI Aayog has issued guiding documents on AI, including the National Strategy for AI and the Responsible AI for All report. The focus is on social and economic inclusion, innovation, and trustworthiness.
United Kingdom:
Advocates a light-touch approach, urging regulators in various sectors to apply existing regulations to AI. Outlined five principles for companies: safety, security, and robustness; transparency and explainability; fairness; accountability and governance; and contestability and redress.
US:
Introduced a Blueprint for an AI Bill of Rights (AIBoR), addressing the economic and civil rights harms of AI. Recommends a sectorally specific approach to AI governance, with policies tailored for sectors like health, labor, and education.
China:
In 2022, China implemented nationally binding regulations targeting specific types of algorithms and AI.
Enacted a law to regulate recommendation algorithms, particularly focusing on information dissemination. As of the end of 2023, challenges in AI policy persist, with a lack of democratic voices and a tendency to surrender the policy process to a few tech companies, which exploit anxieties about AI to distract from concrete interventions.The hope for 2024 is an increased socialization of AI policy, with people taking more control over its imagination and implementation.
Context: Phase 1 of the Bharatmala project deadline has been extended by six years, to FY 2027-28.
News:
Cabinet Committee on Economic Affairs (CCEA):
Bharatmala Pariyojna:
Context: Recently, the Chief Minister of Himachal Pradesh inaugurated the newly-constructed Sanjauli-Dhalli tunnel.
About Sanjauli-Dhalli Tunnel:
Context: A stone deity worshipped by the Bhils in Madhya Pradesh’s Bagh was recently proved to be a fossilized dinosaur egg.
News:
Bhil Tribes:
Dinosaur Fossils National Park:
UNESCO Global Geopark Nomination:
Context: While no human probe has ventured far beyond the boundaries of the Solar System, we possess the capability to measure distances spanning billions of light-years.
About:
Astronomical Units (AU):
Light Year:
Parsecs:
Context: Reserve Bank of India (RBI) has authorized the implementation of card-on-file tokenization (CoFT) in collaboration with card-issuing banks and institutions, aiming to enhance the security and safety of digital payments.
Card-on-File Tokenization (CoFT):
The Reserve Bank of India (RBI) introduced Card-on-File Tokenization in September 2021, and its implementation commenced on October 1, 2022.
Objective:
The primary goal is to streamline the process for cardholders, allowing them to easily generate tokens and associate them with their current accounts within various e-commerce applications.
Tokenization Definition:
Tokenization involves substituting actual credit and debit card details with a unique code known as the "token." This code is distinct for a specific combination of card, token requestor, and device.
CoF Transaction Explanation:
A Card-on-File (CoF) transaction occurs when a cardholder grants authorization to a retailer to store their Mastercard or Visa payment information. Subsequently, the cardholder permits the business to debit the stored Mastercard or Visa account.
Data Storage Locations:
Typically, card information is retained in the systems of various entities such as e-commerce companies, airlines, and supermarket chains.
Significance:
This initiative is pivotal as it simplifies the generation and association of tokens with the existing accounts of cardholders within e-commerce applications, contributing to heightened security and user convenience.
Advantages of Tokenization:
South Africa has moved the International Court of Justice (ICJ) to declare that the Israel was in breach of its obligations under the 1948 Genocide Convention.
(a) Killing members of the group;
(b) Causing serious bodily or mental harm to members of the group;
(c) Deliberately inflicting on the group conditions of life calculated to bring about its physical destruction in whole or in part;
(d) Imposing measures intended to prevent births within the group;
(e) Forcibly transferring children of the group to another group.
Every year on 9 December, the UN marks the adoption of the Genocide Convention with the International Day of Commemoration and Dignity of the Victims of the Crime of Genocide and of the Prevention of this Crime.
Over 5,000 tourists visited Sula Vineyard facilities in Bengaluru and Nashik on December 24th 2023, the most on a single day sale of ?85 lakh.
Over the last few years wine as a category has grown faster than Indian Made Foreign Liquor segment but its share in total alcohol sales in the country is still less than a 1%.
Sula, India’s largest wine producer, with its 1st resort at its vineyard in Nashik. Over 3 days in 2023, it received 12,000 visitors who contributed ?2.28 crore in revenue.
Ghol fish, the State fish of Gujarat whose air bladder is used in the production of wine and beer.
Judima, a home-made rice wine of Assam’s Dimasa tribe has become the 1st traditional brew in all of northeast to earn a Geographical Indication (GI) tag for its distinct sweet taste.
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