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Unlike the singular focus of traditional AI, human cognition encompasses a kaleidoscope of distinct but As we explore the future of AI, understanding these differences is crucial. and study is needed in the field of cognitive science and that claims regarding "Smarter Than Human AI

Artificial intelligence (AI) has emerged as a transformative force, promising both incredible opportunities From Reactive to Predictive: Navigating the Data Deluge AI's ability to analyze vast data-sets could AI should be seen as a tool to support, not replace, human expertise. 5. AI in PSM presents a fascinating double-edged sword. What are your thoughts on the role of AI in Process Safety Management (PSM)?

Companies are increasingly looking to mine (or perhaps exploit) their customer data to feed expanding AI services for their customers, companies are viewing customers as a means to an end – fuel for their AI Every software company with AI aspirations will face this dilemma. It seems anything goes in the race to acquire enough access to data to build a compelling AI experience Let's take a look at some recent examples: Zoom : Their entanglement in an AI privacy controversy raises

It's true that AI is capable of remarkable feats, such as analyzing vast amounts of data and making predictions In exchange for giving AI access to all of our data (and that of everyone else), we're told that it will If we rely solely on AI to tell us what to do and what to believe, do we risk losing the ability to make It's essential that we draw a line between what we're willing to entrust to AI and what we're not. So let's not be too hasty in our eagerness to hand over the reins to AI.

This reality—that AI inherently lacks the capacity to care about its impacts—places a real and immediate As AI technologies transform modern businesses the obligation of “duty of care" has surfaced as a critical This duty represents the specific obligations that fall to organizations that integrate AI into their Organizations deploying AI face a critical choice today: Will you embrace your duty of care, or risk Take these essential steps now: ⚡️ Identify and evaluate AI obligations and commitments (regulatory,

Why do we think that paper AI policies will be enough to handle AI risk? With AI’s ability to learn and adapt, we need measures that are also able to learn and adapt. That’s why a static, paper-based policy will never be enough to govern (i.e. regulate) the use of AI. Governance – the means of regulation – must be as capable as AI.

AI Safety Labels There is an idea floating around the internet and within some regulatory bodies that we should apply safety labels to AI systems, akin to pharmaceutical prescriptions. While well intended this is misguided for a variety of reasons, namely AI’s adaptive nature.   In contrast, AI systems represent a new paradigm of adaptive intelligence. An AI Regulatory Framework: Intelligent Compliance Laws of AI Regulation for Compliance Cybernetics pioneer

When it comes to AI, many don’t want to hear about the risk. Some will go as far as claiming that AI creates no threat to humans or the world we live in. They say, it’s only people that use AI, who create the risk. AI technologies and its interactions with systems. AI can provide great benefits, however, it also brings with it significant risk.

How should the use of AI be governed when used in safety devices or as part of a safety component? Here are some of the ways AI have improved DSS: Automated Data Analysis : AI algorithms can automatically Machine Learning : AI-enabled DSS can use machine learning algorithms to improve the accuracy of its Advantages of Autonomous Decision-Making using AI: Speed and efficiency: AI can analyze data at a much Disadvantages of Autonomous Decision Making using AI: Lack of human oversight: AI systems can make decisions

Alongside benefits of Digital Twins, the integration of Artificial Intelligence (AI) introduces additional AI algorithms enhance the analysis of data within digital twins, but they also introduce the risk of Moreover, AI-driven decisions may be opaque, making it challenging to understand their rationale and Additionally, complex AI models may lack interpretability, hindering decision-makers' ability to trust AI algorithms drive autonomous actions within digital twins, enhancing efficiency and responsiveness.

When it comes to AI we must: Keep Humans In The Loop When there is a chance of harm, the decision to AI should not make ethical decisions for you. What steps can you take starting today to ensure your organization is responsible with its use of AI?

continual mechanization of human work, now accelerated by the integration of Artificial Intelligence (AI ) and Agentic AI. AI systems are being deployed to handle everything from customer service inquiries to complex data analysis We now have AI systems to make decisions and perform work with far-reaching consequences without the Approach AI and digital agents as tools to augment human wisdom, not replace it.