A new EY survey reveals a significant disconnect between C-suite executives’ confidence in AI systems and the governance measures in place, with only a third of companies having responsible controls for current AI models. Despite this governance gap, nearly all executives expect to adopt emerging AI technologies within the next year.
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.
As AI becomes integral to enterprise strategy, governance evolves from an afterthought to a strategic necessity, emphasizing the importance of embedding it from the beginning. Vashisth highlights the growing trend of integrating responsible AI principles into core business strategies, particularly in risk-sensitive sectors like finance and healthcare.
Responsible AI (RAI) is the practice of designing and deploying machine learning systems ethically, ensuring they do no harm and respect human rights. As AI technologies increasingly shape our lives, incorporating RAI principles is essential to building trust and accountability in these systems.
Responsible AI is not just about the technology itself but also about the social decisions that shape its development and deployment. It reflects our values and power structures, making it crucial to address biases and ensure equity in its use.
A new poll reveals that banning state regulation of artificial intelligence is highly unpopular among American voters, with 59% opposing the measure. The controversial provision is part of the One Big Beautiful Bill Act, which federal lawmakers are set to discuss, but critics argue it could harm consumer protections.
As AI reshapes Singapore and the world, organizations must address the array of risk management challenges that this transformative technology brings. A standardized approach incorporating global consensus is essential for guiding organizations in balancing innovation with effective risk management.
As artificial intelligence (AI) increasingly influences critical decision-making across various sectors, the need for robust ethical governance frameworks becomes essential. Organizations must prioritize ethical considerations and implement effective AI governance to navigate the complexities and potential biases associated with AI technologies.
The EU AI Act Newsletter #78 discusses the European Commission’s ongoing efforts in developing AI regulations, including stakeholder feedback on definitions and prohibited practices, as well as the need for AI literacy among providers. It also highlights concerns over bureaucratic red tape and the importance of maintaining AI safety standards while fostering innovation.
Utah has enacted five new AI bills that modify existing regulations concerning artificial intelligence, particularly focusing on disclosure requirements and protections for mental health chatbots. The new legislation includes stricter rules for user interactions with generative AI and expands personal identity protections against misuse of AI-generated content.