This article explores the complexities of global AI governance using a proposed three-layer framework inspired by internet governance, highlighting recent initiatives and the challenges of coordinating policies across multiple actors and layers in the rapidly evolving AI landscape.
As AI adoption grows across finance functions, CFOs are prioritizing investments in data automation and robust AI governance. Recent surveys highlight the necessity of dedicated budgets and IT support to ensure data quality, accountability, and effective decision-making.
The Dutch Data Protection Authority (AP) has released a vision document outlining how organizations can responsibly develop and deploy generative AI while complying with GDPR regulations. The guidance emphasizes transparency, risk assessment, purpose limitation, and robust governance to ensure innovation respects fundamental rights.
The race to dominate AI data and infrastructure is paralleled by efforts to create laws and policies governing this technology. Key developments include the EU AI Act, new legislation from South Korea and Japan, and varying deregulatory trends aimed at fostering innovation worldwide.
As global investment in artificial intelligence exceeds $500 billion, tech giants must enhance transparency and accountability to mitigate risks associated with AI deployment. Without robust principles, harmful content and regulatory backlash could undermine trust in these crucial systems.
Artificial intelligence is transforming the broadcasting industry, with radio stations increasingly adopting AI tools for programming and operations. While AI offers opportunities for efficiency, broadcasters must remain vigilant against misinformation and comply with evolving regulations on AI use.
Join Bev Alfon, Labor & Employment Partner, for a practical Breakfast Briefing on navigating the risks and opportunities of artificial intelligence in the workplace. This session covers how traditional employment laws apply to emerging AI tools and offers actionable strategies for reducing legal risk while embracing innovation.
Black Duck® has released BSIMM16, highlighting how organizations are adapting software security initiatives amid AI adoption and regulatory pressures. The report reveals trends such as increased use of attack intelligence and automated security practices across industries.
Leidos and Trustible have partnered to redefine AI governance through automation, significantly reducing governance timeframes and enabling faster, accountable AI adoption in government missions.
Healthcare leaders face the challenge of balancing AI-driven innovation with empathy and ethical care. Prioritizing trust and patient-centered approaches can ensure technology enhances, rather than replaces, the human connection in healthcare.