Remove legal privacy-policy
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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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AI Governance: Act now, thrive later

CIO Business Intelligence

Employees are experimenting, developing, and moving these AI technologies into production, whether their organization has AI policies or not. With the rapid advancement and deployment of AI technologies comes a threat as inclusion has surpassed many organizations governance policies. But in reality, the proof is just the opposite.

Testing 93
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Communal Computing’s Many Problems

O'Reilly on Data

Privacy: Are we exposing (or hiding) the right content for all of the people with access? As we consider the identities of all people with access to the device, and the identity of the place the device is to be part of, we start to consider what privacy expectations people may have given the context in which the device is used.

Risk 335
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Generative AI in the Enterprise

O'Reilly on Data

In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. The legal consequences of using generative AI are still unknown.

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Familiarize Yourself with the Legality of Data Accumulation Under New Data Governance Rules

Smart Data Collective

If you are not familiar with the principles of data accumulation, here are the legal requirements you need before you can start collecting your customers’ data. Privacy Policy. Plus, depending on the state that you operate in, you need to take note of the local requirements for privacy policies. User Consent.

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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO Business Intelligence

It prevents vendor lock-in, gives a lever for strong negotiation, enables business flexibility in strategy execution owing to complicated architecture or regional limitations in terms of security and legal compliance if and when they rise and promotes portability from an application architecture perspective.

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CISO viewpoint part 1: AI’s impact on people, policies & processes

CIO Business Intelligence

At the same time, they realize that AI has an impact on people, policies, and processes within their organizations. Since ChatGPT, Copilot, Gemini, and other LLMs launched, CISOs have had to introduce (or update) measures regarding employee AI usage and data security and privacy, while enhancing policies and processes for their organizations.