A recent KPMG study reveals that while 70% of U.S. workers are eager to leverage AI’s benefits, 75% remain concerned about potential negative outcomes, leading to low trust in AI. Nearly half of employees are using AI tools without proper authorization, highlighting significant gaps in governance and raising ethical concerns.
A recent global study reveals that while 58% of employees use AI tools regularly at work, nearly half admit to using them inappropriately, such as uploading sensitive information or not verifying AI-generated content. This highlights the urgent need for organizations to establish clear policies and training on the responsible use of AI to mitigate risks.
CIOs must carefully consider various compliance questions before launching AI projects, including the risk level of AI use cases and the jurisdictions in which they will operate. Understanding data usage and whether to build or buy AI solutions are also critical factors for compliance and effective governance.
The article examines the implications of India’s Digital Personal Data Protection (DPDP) Act, which emphasizes consent-centric data governance, on the development of artificial intelligence (AI). It highlights the challenges of balancing individual privacy rights with the data needs of AI systems, particularly in sectors requiring curated datasets.
The EU AI Act may impact UK-based businesses that use AI solutions, even if they operate entirely outside the EU. Companies could be affected if they export AI systems or their results to the EU, and they might find themselves bound to certain obligations outlined by AI tool providers.
Starting from August 2, 2025, providers of General Purpose AI models will face significant obligations under the EU’s AI Act, including the need to provide technical documentation and conduct risk assessments for powerful models. The ongoing drafting of the Code of Practice raises concerns about its procedural legitimacy and the introduction of new requirements that extend beyond the original Act.
Singapore is unveiling its National AI Strategy 2.0, aimed at positioning itself as both an AI innovator and regulator while addressing challenges like data privacy and AI bias. As the nation navigates this landscape, the emphasis on accountability and governance becomes crucial in ensuring that AI systems operate responsibly.
With billions of users, Artificial Intelligence (AI) is being widely deployed across various fields, raising concerns about its responsible use. Companies must ensure that the benefits of AI outweigh the potential harms to society.
As the US and EU develop AI frameworks, there is a caution against fear-driven policies that could undermine democratic values, such as outright bans on political deepfakes. Research indicates that the narrative surrounding AI’s influence on elections has been overstated, with evidence showing limited impact on voting behaviors.
The European Writers Council and other federations express strong opposition to the third draft of the EU’s Code of Practice under the AI Act, arguing that it undermines authors’ rights and fails to incorporate substantial feedback. They emphasize that without the contributions of professional authors, the development of generative AI cannot proceed responsibly.
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