AISHE AI: Autonomous Agent for Earning Money

AI: It Shows Us Exactly What We Fear - and What We Dare to Hope Let’s start with a paradox. Imagine a tool that can diagnose cancer faster than a doctor, yet might also steal your job. A system that can tutor a child in a remote village but could spy on her family. A force that’s reshaping the world, yet feels as invisible as the wind. Artificial Intelligence (AI) isn’t just technology - it’s a mirror. And what we see in it depends on who’s holding it.   The Mirror of Tomorrow: Who Holds the Reflection? Take agriculture, where farmers once relied on intuition to battle pests. Now, AI apps scan leaves and spot trouble before it spreads. Simple, right? Except this same technology, if misused, could track those farmers’ movements or silence their voices. This duality isn’t unique to one region; it’s the story of AI everywhere. It’s the genie in the lamp - wonderful, terrifying, and utterly indifferent to our moral dilemmas.   The Invisible Assistant Who Never Sleeps You’ve ...

Artificial intelligence (AI) is rapidly transforming the financial industry, from traditional banking to cutting-edge fintech. At its core, AI in finance involves the application of machine learning algorithms and statistical models to analyze vast amounts of financial data. This enables computers to perform tasks that typically require human intelligence, such as decision-making, problem-solving, and learning. (toc) #title=(content list) Why is AI Important for Finance? Enhanced Efficiency:  AI automates routine tasks, reducing operational costs and improving productivity. Improved Decision Making:  By analyzing large datasets, AI can identify patterns and trends that humans might miss, leading to better-informed decisions. Personalized Customer Experience:  AI enables financial institutions to offer highly personalized products and services tailored to individual customer needs. Risk Management:  AI can help identify and mitigate risks more ...

The Indian Council of Medical Research (ICMR) has recently introduced the country's first ethical guidelines for the application of artificial intelligence (AI) in biomedical research and healthcare. The guidelines are aimed at providing an ethical framework for the development of AI-based tools to benefit all stakeholders. AI in healthcare is largely dependent on data obtained from human participants, and as such, raises concerns related to potential biases, data handling, interpretation, autonomy, risk minimization, professional competence, data sharing, and confidentiality. To address these concerns, the ICMR has developed these guidelines to ensure that ethical principles are considered while developing and deploying AI-based solutions in healthcare.  AI in Biomedical Research and Healthcare The adoption of AI technology in healthcare is rapidly growing in India. However, AI as a data-driven technology has potential ethical challenges, including algorithmic transparency ...