The EU AI Act mentions the EU General Data Protection Regulation, Regulation (EU) 2016/679, more than 30 times throughout its recitals and articles, which define the European framework for the development and deployment of high-risk AI systems and general-purpose AI models….
AI-Powered Data Security: The Future of Real-Time Cloud Integration
In this rapidly growing digital era, data security, and governance have become critical concerns as organizations process massive volumes of information daily. AI-driven systems are emerging as game-changers, reshaping how businesses maintain security and compliance while optimizing operational efficiency. Siddharth Kumar…
RBI’s framework for responsible and ethical enablement: Towards ethical AI in finance
The Reserve Bank of India (RBI) has established a committee to develop a Framework for Responsible and Ethical Enablement of Artificial Intelligence (FREE-AI) in the Indian financial sector. This initiative, led by Dr Pushpak Bhattacharyya, aims to guide the ethical and…
Report on AI governance guidelines development
India recognizes the potential and challenges of AI. An Advisory Group, chaired by the Principal Scientific Advisor, has been constituted to undertake the development of an ‘AI for India-Specific Regulatory Framework’. Under the guidance of the Advisory Group, a Subcommittee on…
Trustworthy AI – reliable and predictable
Trust is, at its core, a deeply human phenomenon. When we step onto a bus, it’s the driver we trust to bring us safely to our destination – but what about the bus? Can we place the same trust in it…
IDB Bank Partners with ThetaRay, Strengthening its Financial Crime Compliance with Cognitive AI Solution
NEW YORK–(BUSINESS WIRE)–ThetaRay, a global leader in Cognitive AI Financial Crime Compliance and IDB Bank, a New York-based private and commercial bank, have announced a strategic partnership. The collaboration underscores the Bank’s dedication to maintaining the highest standards of regulatory compliance…
XAI: Explainable Artificial Intelligence
Dramatic success in machine learning has led to a torrent of Artificial Intelligence (AI) applications. Continued advances promise to produce autonomous systems that will perceive, learn, decide, and act on their own. However, the effectiveness of these systems is limited by…
Life Sciences AI and Compliance: Trust But Rigorously Verify
Artificial intelligence (AI) continues to upend how businesses operate, and the life sciences field is no exception. Generative AI provides life sciences companies the ability to identify and learn from patterns in large data sets. This use of AI has clear…
Ethical AI Frameworks for Fraud Prevention in Financial Systems
Artificial Intelligence (AI) has transformed financial security by enabling fraud prevention at an unprecedented scale. However, the ethical challenges surrounding AI-driven fraud detection—such as transparency, bias, and data privacy—have necessitated the development of responsible frameworks. Avinash Rahul Gudimetla, specializing in AI…
AI Risk Management: A Comprehensive Guide 101
AI is a game-changer in every sector. AI risk management is a systematic approach to identifying, assessing, and mitigating the risks of AI systems throughout their lifecycle. Companies are evolving approaches to create a systemic culture of data in everything to…