Tejasvi Addagada emphasizes the urgent need for a fundamental reset in how we govern data and AI, arguing that traditional management models are outdated and inadequate for the complexities of modern technology. He introduces the Contingency and Evolutionary Governance models as adaptive frameworks that align with the evolving nature of organizations and their use of AI.
Responsible AI is a holistic approach ensuring that AI systems are developed and used ethically, transparently, and accountably. As AI becomes integral to various industries, the importance of a regulatory framework governing its use for both organizations and individuals is increasingly critical.
The article discusses how organizations can operationalize responsible AI, emphasizing the translation of guiding principles into structured operational frameworks. It highlights the importance of integrating aspects like model governance, experience design, and diagnostics to ensure ethical and effective AI implementation.
The article critiques Canada’s Artificial Intelligence and Data Act (AIDA), highlighting various missed opportunities that ultimately led to its failure. The authors argue that the legislation disproportionately favors the AI industry while neglecting the needs of marginalized communities and workers’ rights.
In February 2025, the European Commission published guidelines to clarify aspects of the EU Artificial Intelligence Act, including the definition of an “AI system.” These guidelines aim to provide clarity on obligations related to AI systems, including their characteristics and the types of practices that are prohibited.
As AI continues to emerge in business, leaders must balance regulation with innovation to avoid hindering technological advancement. The focus should shift from fear-based frameworks to proactive experimentation, enabling organizations to manage risk while fostering growth.
In an era dominated by AI, the importance of context and intention in creativity is often overshadowed by compliance with automated systems. While AI detectors aim to maintain integrity, they frequently fail to appreciate the nuances of human expression, raising ethical concerns about their reliance in evaluating originality.
Responsible AI is essential for everyone involved in the product, data, and decision-making processes, not just a task for the legal team. It requires accountability, traceability, and a commitment to ethical practices to truly integrate responsible AI into operational frameworks.
Experts gathered at a global workshop to discuss the implications of AI in diplomacy and human rights governance, emphasizing the need for ethical considerations in technology use. The event, co-organized by prominent international bodies, highlighted the importance of transparency and accountability in deploying AI tools for peacebuilding and negotiation.
India is implementing a comprehensive strategy to develop responsible and ethical AI, focusing on indigenous applications trained on local datasets. CEO Abhishek Singh emphasizes the importance of moving from discussions to concrete actions to ensure AI benefits all citizens.