Remove legal security
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10 AI strategy questions every CIO must answer

CIO Business Intelligence

He says even if no one can be 100% comfortable with the quality and quantity of the data fueling AI systems, they should feel confident that the quality and quantity are high enough for the use case, that the data is adequately secured, and that its use conforms to regulatory requirements and best practices such as those around privacy.

Strategy 141
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Introduction to Smart Contracts

Analytics Vidhya

Introduction Smart contracts are a type of digital agreement based on blockchain technology and are executed to form a legal contract between two parties involved. However, recent developments in the blockchain have paved the way to an increasingly secure form of […].

Marketing 291
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Avoiding Toxicity in Generative AI

David Menninger's Analyst Perspectives

In our recent ISG Market Lens study on generative AI, 39% of participants cited data privacy and security among the biggest inhibitors to adopting AI. erroneous results), and an equal amount (32%) mentioned legal risk. Nearly a third (32%) identified performance and quality (e.g.,

Risk 246
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Preparing for Q-Day: Safeguarding Enterprises Against Quantum Threats

David Menninger's Analyst Perspectives

Similarly, Q-Day represents a systemic risk to digital security, eroding the foundation on which secure communication is built. Just as Y2K prompted widespread audits and remediation efforts across industries, Q-Day should galvanize organizations to assess their cryptographic practices and prepare for a transformed security landscape.

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From Complexity to Clarity: Strategies for Effective Compliance and Security Measures

Speaker: Erika R. Bales, Esq.

When we talk about “compliance and security," most companies want to ensure that steps are being taken to protect what they value most – people, data, real or personal property, intellectual property, digital assets, or any other number of other things - and it’s more important than ever that safeguards are in place. Bales, Esq. Bales, Esq.

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5 things on our data and AI radar for 2021

O'Reilly on Data

Data use is no longer a “wild west” in which anything goes; there are legal and reputational consequences for using data improperly. Responsible ML includes explainable AI (systems that can explain why a decision was made), human-centered machine learning, regulatory compliance, ethics, interpretability, fairness, and building secure AI.

Data Lake 362
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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

The World Economic Forum shares some risks with AI agents , including improving transparency, establishing ethical guidelines, prioritizing data governance, improving security, and increasing education. Many legal departments can benefit from intelligent document management where the time to review contracts impacts operations.