As artificial intelligence increasingly influences our lives, building trust in these systems is crucial for sustainable adoption. This involves embracing responsible AI practices and establishing data governance frameworks that ensure transparency, fairness, and accountability.
Brandon Reilly, leader of Manatt’s Privacy and Data Security practice, will speak on a panel at the California Lawyers Association Annual Privacy Summit on February 19, 2026. The session will cover best practices and emerging challenges in AI governance, focusing on new legislation as well as the implications for transparency and fairness.
The ICO has launched a formal investigation into X following allegations that its Grok AI tool generated non-consensual sexual images using real people’s data. Concurrently, French authorities raided X’s Paris office as part of a related criminal inquiry.
The Independent Media Agencies Australia (IMAA) has updated its AI Guiding Principles to strengthen governance and trust in the supply chain, reflecting member feedback on generative AI. The revised guidelines emphasize safe, ethical AI use, vendor transparency, and responsible audience targeting.
IG Group has partnered with Adclear to implement AI in its marketing compliance operations, aiming to streamline the approval process for promotional materials amidst increasing regulatory scrutiny. Following a successful pilot, the AI platform has significantly improved approval times and first-time approval rates for marketing assets.
The European Commission has missed a crucial deadline to provide guidance on classifying high-risk AI systems under the EU AI Act, creating uncertainty about the law’s implementation. Delays in finalizing standards and guidance could undermine confidence in the act and its enforcement, scheduled to begin in August.
As India embraces an AI-first era in 2026, value-added resellers (VARs) must transition from traditional roles to trusted AI transformation partners. Success will depend on execution maturity, addressing challenges such as data readiness and security risks.
To successfully scale enterprise AI in 2026, organizations must prioritize governance and skill readiness, addressing risks such as data privacy and compliance from the outset. By embedding cybersecurity and responsible AI principles into the deployment process, companies can ensure secure and accountable AI adoption.
BM Infotrade is positioned to support enterprise-scale AI adoption in 2026 with a security-first approach that addresses skills gaps, security concerns, compliance, infrastructure readiness, and data maturity challenges. Leveraging cloud-native and hybrid architectures, the company aims to enable scalable, compliant AI implementations aligned with business goals.
The Legal Innovation Festival Southeast Asia 2026, held on March 12-13 in Singapore, will explore how AI is transforming the legal sector. The event brings together legal professionals, technologists, and regulators to discuss the challenges and opportunities of responsible AI adoption.