AI Regulations - gettectonic.com
Road for AI Regulation

Road for AI Regulation

The concept of artificial intelligence, or synthetic minds capable of thinking and reasoning like humans, has been around for centuries. Ancient cultures often expressed ideas and pursued goals similar to AI, and in the early 20th century, science fiction brought these notions to modern audiences. Works like The Wizard of Oz and films such as Metropolis resonated globally, laying the groundwork for contemporary AI discussions.

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AI Risk Management

AI Risk Management

Organizations must acknowledge the risks associated with implementing AI systems to use the technology ethically and minimize liability. Throughout history, companies have had to manage the risks associated with adopting new technologies, and AI is no exception. Some AI risks are similar to those encountered when deploying any new technology or tool, such as poor

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EU AI Act

EU AI Act

The EU AI Act is a complex piece of legislation, packed with various sections, definitions, and guidelines, making it challenging for organizations to navigate. However, understanding the EU AI Act is crucial for companies aiming to innovate with AI while staying compliant with both legal and ethical standards. Arnoud Engelfriet, chief knowledge officer at ICTRecht,

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AI Senate Bill 1047

AI Senate Bill 1047

California’s new AI bill has sparked intense debate, with proponents viewing it as necessary regulation and critics warning it could stifle innovation, particularly for small businesses. Senate Bill 1047, known as the Safe and Secure Innovation for Frontier Artificial Intelligence Models Act, mandates that developers of advanced AI systems costing at least $100 million to

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Key Insights on Navigating AI Compliance

Key Insights on Navigating AI Compliance

Grammarly’s AI Regulatory Master Class: Key Insights on Navigating AI Compliance On August 27, 2024, Grammarly hosted an AI Regulatory Master Class webinar, featuring Scout Moran, Senior Product Counsel, and Alan Luk, Head of Governance, Risk, and Compliance (GRC). The event provided a comprehensive overview of the current and upcoming AI regulations affecting organizations’ AI

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Generative AI Regulations

Lobbying for AI Rules on Environemental Impact

Computing currently accounts for up to 3 percent of global power consumption, and Salesforce believes that AI could triple this figure. Lobbying for AI Rules on Environemental Impact. To address these concerns, Salesforce is initiating lobbying efforts to establish new regulations mandating emissions disclosure and efficiency standards for artificial intelligence. This announcement was made on

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Ethical and Responsible AI

Ethical and Responsible AI

Responsible AI and ethical AI are closely connected, with each offering complementary yet distinct principles for the development and use of AI systems. Organizations that aim for success must integrate both frameworks, as they are mutually reinforcing. Responsible AI emphasizes accountability, transparency, and adherence to regulations. Ethical AI—sometimes called AI ethics—focuses on broader moral values

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Generative AI Regulations

How Generative AI Regulations Could Effect You

If you’re considering integrating generative artificial intelligence (GAI) tools into your business operations, you’re not alone. While these tools have the potential to boost employee productivity, concerns regarding their safety have been voiced by business leaders. Despite their utility in areas like marketing, customer service, and data insights, there is a growing demand for generative

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ethical ai consumer trust vs expectations

Ethical AI-Consumer Trust Vs Expectations

Consumer Trust and Responsible AI Implementation Ethical AI Consumer Trust vs Expectations Research indicates that while consumers have low trust in AI systems, they expect companies to use them responsibly. Around 90% of consumers believe that companies have a duty to contribute positively to society. However, despite guidance on responsible technology use, many consumers remain

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Data Management for AI

Data Management for AI

AI Data Management is the strategic and systematic handling of an organization’s data assets through the integration of AI technology. The primary goal is to enhance data quality, analysis, and decision-making processes. This encompasses the implementation of procedures, guidelines, and technical methodologies for the efficient collection, organization, storage, and utilization of data. While Generative AI

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