AI-enabled medical devices are becoming increasingly common in healthcare, especially in specialties like radiology, cardiology, and neurology. As of May 2024, the US Food and Drug Administration (FDA) had approved 882 such devices, with 76 % focused on radiology alone. These…
How AI can help Indian startups overcome business and efficiency challenges
Artificial intelligence (AI) is no longer a futuristic concept; it is a transformative force reshaping industries worldwide. For Indian startups, AI presents a unique opportunity to scale operations, enhance efficiency, and unlock new avenues of growth. In a competitive landscape where…
Winning AI adoption strategies from 4 leading companies
In 2025, executives around the world are grappling with a common question: How do we really make the most of AI? Successfully integrating AI goes far beyond just buying a few software licenses. It requires fostering a culture open to innovation,…
IIT Madras Study calls for ‘Participatory Approach’ to AI Governance in India and Abroad
A study published by Indian Institute of Technology Madras (IIT Madras) Researchers and Vidhi Centre for Legal Policy, Delhi, has called for participatory approaches in the development and governance of Artificial Intelligence in India and abroad. This study identified the primary…
There’s More to AI Bias Than Biased Data, NIST Report Highlights
As a step toward improving our ability to identify and manage the harmful effects of bias in artificial intelligence (AI) systems, researchers at the National Institute of Standards and Technology (NIST) recommend widening the scope of where we look for the…
Ethics and Machine Learning: Present and Future Challenges
Machine Learning has the potential to transform society and the way we do business in many positive and meaningful ways, but it is critical to consider the ethical implications of the models and systems. As AI systems become increasingly sophisticated and…
The future of risk management: Fujitsu’s AI solution for transparency, compliance, and sustainability.
Navigating regulatory complexity: the impact of the AI actWith the emergence of regulations governing the use of Artificial Intelligence (AI), such as the AI Act, businesses face a heightened need for transparency and accountability in their AI-driven processes. Fujitsu Advanced Sentinel…
Navigating the Future of Generative AI: Ethical, Regulatory, and Governance Challenges
Since September 2022, online searches for the term ‘generative AI’ have increased by 7900%, according to Google Trends. It is impossible to escape the impact of this technology. As it permeates every field from content creation to healthcare diagnostics and self-driving…
Effective model risk management framework for AI/ML based models
In the past few years, Artificial Intelligence (AI)/Machine Learning (ML) models have become prominent instruments in a multitude of sectors. However, alongside these transformative benefits, the adoption of AI/ML models has introduced challenges which could potentially increase risks in the entire…
Empowering ethical AI: trust, transparency and sustainability in action
The EU AI Act is landmark legislation that addresses the risks and vulnerabilities that traditional data protection frameworks may not cover. We are taking advantage of the opportunities it presents by focusing on compliance strategies and adapting AI offerings to align…