Category: Ethics
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AI – Catalyst For Change
AI is a catalyst for change. Ethics, the environment as well as people themselves. This new era is forcing us to look at ethics, to really being to decompose from the abstract to the practical. The environment continues to be a paradox. Yes, AI requires resources to operate and at the same time is involved…
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Beyond Logic: The Case for the Ethical Processing Unit (EPU)
Pure logic cannot solve a grey area, and waiting for global laws to catch up leaves us vulnerable today. If we cannot teach an AI to feel ethics, we must design systems that are structurally incapable of violating human dignity. This is where we move from philosophy to architecture. Instead of trying to code the…
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Ethical Foundation – AI Logic Layer
Overview of AI Logic Layer The ethical foundation – AI logic layer, provides for the following components. When a request is submitted to the AI, it will flow through the necessary machine learning algorithms and big data integration, processed by the neural network and then feed into our ethics processor. The ethics processor will then…
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Ethical Foundation – Pillars
Pillars Of Ethical Foundation The pillars of the ethical foundation are supported by the bedrock and contain universal truths/human rights. The intent is to provide a layer common to all of humanity and not a specific countries view. The following pillars provide for the following: Purpose The purpose of the pillars are to guide the…
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Ethical Foundation – Bedrock
Bedrock Our AI ethical foundation is the bedrock of our architecture. At the root stands our 3 laws of robotics. Elegant laws that are general. Applying the laws to real world scenarios can cloud there elegance. Taken at face value they make a lot of sense. Filtering reality through these laws, we see how quickly…
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AI Ethical Foundation
Ethical Foundation – Tier 1 Note: Isaac Asimov penned the original laws below in his 1942 book, Runaround. Scientists like Alan Turing started working with machine intelligence in 1950, AI research ‘officially’ began in 1956. As you see, this is well after Asimov wrote the rules. He envisioned a smart robot. In modern times, robots…
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AI Governance
What Is AI Governance AI Governance is a set of policies, procedures and frameworks. The intention is to ensure that AI systems are safe and accountable. It’s to manage risks like biases, privacy and security. At it’s core AI governance components include ethical guidelines, risk management, compliance and operational control. Read what IBM had to…
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Ethics and AI
To begin a discussion on ethics and AI development, let’s take a look at what Harvard University had to say in their article titled Ethics in AI: Why It Matters. For me personally, I propose a baseline. Incorporation of universal truths and some science fiction should be at the top of our list. Issac Asimov’s…