Deploying Responsible AI

AI adoption is outpacing governance. This paper addresses what responsible deployment actually requires in practice: not aspirations, but structures.
Assessing AI Governance a Maturity Model

Organizations often face challenges in adopting appropriate AI governance and practices. The AI risk maturity model is crucial for organizations seeking to understand, assess, and improve their programs and processes. It provides a North Star, guiding organizations in their AI maturity journey and paving the way for continuous improvement Fortunately, NIST’s AI RMF provides a […]
Evolving Risk Management

Ravit Dotan, Borhane Blili-Hamelin, Ravi Madhavan, Jeanna Matthews, Joshua Scarpino Researchers, government bodies, and organizations have been repeatedly calling for a shift in the responsible AI community from general principles to tangible and operationalizable practices in mitigating the potential sociotechnical harms of AI. Frameworks like the NIST AI RMF embody an emerging consensus on recommended practices in operationalizing sociotechnical […]
Evaluating AI Governance

AI governance programmes vary enormously in their substance. This paper provides a practical methodology for assessing what is real and what is documentation.
CISO Insights

Josh Scarpino – Head of Security and Compliance, Manager Global Security and Compliance – Harver listen to it Here: https://www.aphinia.com/podcast.php Nov 30, 2022 Season 1 Episode 9
Ethical Artificial Intelligence and Machine Learning By Design

The underlying consequences of implementing technologies without fully understanding privacy, bias and possible discrimination remain a constant threat for organizations as they integrate new technologies. When these issues remain present, it impacts every individual’s ability to participate in society fairly. They can include personal reputational damage, financial impacts, litigation, regulatory backlash, privacy concerns and ultimately […]
Evaluating Ethical Challenges in AI and ML

In general, privacy, bias and discrimination are currently receiving a lot of attention. However, it is common for them to be underprioritized in technology implementations and treated as isolated issues, only receiving attention when necessary. Many organizations instead prioritize goals such as efficiency gains or increased profits, which often require richer data sets, but they […]