Category: Articles
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Strategizing Generative AI Adoption
Navigating the Leader’s Dilemma One of the most challenging parts of any LLM is finding the needle in the haystack! It is particularly true if you are looking for enterprise knowledge that allows you to differentiate while maintaining privacy and security of your information. There are many popular foundational models that make excellent conversational tools,…
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The Impact of Generative AI on Social Media
The use of generative AI has and will penetrate social media for decades to come. Information ecosystems, journalists, content creators and marketing agencies will find new ways to research, generate, distill, and distribute contents in novel and engaging ways. Micro-to-macro uses of generative AI will have substantial impact as a result on large social media…
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Defining a well-aligned AI
AI systems that are functionally aligned have an optimal reward structure that is designed for human benefit. There are three characteristics that stand out in a well-aligned AI system: scientific alignment, consistency alignment, and stakeholder alignment. Scientific Alignment: Each model’s algorithmic output produces construct validity, or ground truth centered on explainability. Consistency Alignment: The outcomes…
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Navigate AI Risks with Clarity
Companies that proactively embrace management of AI risks see this as a journey, and not a point-in-time event. This resonates with the approach we take at Adaptive.AI in helping companies make confident strides to enable AI trust with customers, stakeholders and future legislations. Our services enable companies to ‘pivot’ from a place of disarray to…
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Customer-Centric AI Trust
Executive Summary In a digitally driven business world, the concept of trust has multiple meanings, and it is heavily influenced by audiences who receive or anticipate digital trust. When trust is discussed in relation to artificial intelligence (AI) and the concerned audience, the intrinsic value of the technology should be emphasized, and trust anchored around…
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Privacy Management: Time for a Revisit
Privacy management is ready for another pivotal moment. With unprecedented AI activity around us, is your Privacy practice ready for the emerging complexities of the big data across its vectors – volume, variety and velocity? In light of the massive shift in data volume, variety and velocity, now is the prime time to revisit your…
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A Three-Tier Model to build Trust and Performance in AI
Artificial Intelligence – Risks and Rewards The most compelling challenge facing businesses of all sizes today is maximizing the value of AI investments while keeping up with evolving risks and steady stream of regulatory obligations, all within the limits of available resources and funds. Innovation is the heart of everything we do and, in many…
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The California Consumer Privacy Act: Navigating the Finalized and Approved Regulation
Since 2018, the state of California has been through a couple of iterations of privacy laws. Even though the privacy law was enacted on January 1, 2023, the final rulemaking has been pending for a long time. Understanding the full extent of the scope, requirements and catching up on the increments and nuances of the…
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Navigating the Privacy Landscape in 2023 and Beyond
The outlook and tone for data privacy is largely dictated by the torrential amount of data generated from data analytics models, artificial intelligence systems, and users leveraging digital experiences. We can expect to see increasing technology disruptions and transformations that will shape our personal digital footprint with each passing year. Looking ahead to 2023 and…
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Building a Solid Foundation for AI Governance and Risk Management
It cannot be overstated – A strong corporate culture is the cornerstone of effective governance. Without an effective governance, organizations will not have the right mechanisms and processes in place to navigate complex challenges. At the senior leadership level, a strong corporate culture means hiring leaders who embody the organization’s values and shared purpose. This…