#ethical-ai

#ethical-ai

Many firms lack a formal data strategy despite rising AI usage and employee data literacy gaps, leading to an 'AI Paradox.'

ISO 42001 offers a structured approach for organizations to implement AI management systems, highlighting risk management and stakeholder alignment.

The rapid evolution of AI raises trust issues among leaders, who display both awe and anxiety about its implications.

Academic researchers face limitations in accessing AI technology for ethical applications, leading to concerns about biased AI development and potential exclusion of marginalized populations.

TechCrunch is highlighting remarkable women in AI with a series of interviews, shedding light on their often unrecognized contributions.

HR plays a pivotal role in driving and leading AI transformation within organizations.

Investment in AI technology is rapidly increasing, with companies like Google surpassing Microsoft and OpenAI in funding for supercomputers.

Many Shot Jailbreaking technique bypasses safety features on powerful AI tools by flooding them with examples of wrongdoing.

Newer, more complex AI systems are more vulnerable to attacks due to their larger context window capability.

Adobe focused on AI advancements, particularly Firefly models and Firefly Services at their conference.

Adobe's AI models have been trained on public domain and licensed content to ensure brand safety and legal compliance.

The Biden administration issued new rules on AI use by government agencies to ensure safe and responsible implementation.

The guidance emphasizes the need for putting public interest first and serves as a model for global AI policies.