What is AI?
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term is often applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
AI Usage:
- AI is the ability of a computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.
- AI refers to computer systems capable of performing complex tasks that historically only a human could do, such as reasoning, making decisions, or solving problems.
- AI is an umbrella term that encompasses a wide variety of technologies, including machine learning, deep learning, and natural language processing (NLP).
- AI is the theory and development of computer systems capable of performing tasks that historically required human intelligence, such as recognizing speech, making decisions, and identifying patterns.
- AI can assist Improving cybersecurity and fraud management.
The Regulations:
New GDPR Regulations:
- Consistently cultivate trust with customers.
- Focus on extracting insight, not personal identifiable information.
- Comply with EU data protection rules.
- Understand how to deal with requests from individuals.
- Know the obligations and principles of GDPR.
Currently USA Related, The Executive Order directs the following actions:
- Require that developers of the most powerful AI systems share their safety test results and other critical information with the U.S. government.
- Develop standards, tools, and tests to help ensure that AI systems are safe, secure, and trustworthy.
- Protect against the risks of using AI to engineer dangerous biological materials by developing strong new standards for biological synthesis screening.
Currently CANADA Related:
- The Government of Canada is exploring the use of AI in government programs and services, ensuring it is governed by clear values, ethics, and laws.
- The Artificial Intelligence and Data Act (AIDA) was introduced to regulate the use of high-impact AI systems.
- AIDA requires organizations to identify, assess, and mitigate harms to the health, safety, and security of Canadians.
- The Schwartz Reisman Institute notes that while AIDA is a step towards effectively regulating AI, there is still much to do to ensure the agile regulatory framework offered by AIDA is used effectively.
- Data Information: Artificial Intelligence and Data Act (canada.ca)
Actual Regulation Breakdown in terms of EU/GDPR
EU lawmakers have agreed on the principles of the Act, which is all about a risk-based approach to AI systems:
- High-risk — These are the big ones like medical devices, critical infrastructures, or systems used for things like recruiting or law enforcement.
They have to meet certain requirements, like having risk-mitigation systems, using high-quality data sets, keeping detailed records, and maintaining strong cybersecurity.
- Minimal risk — Think of AI systems like spam filters or recommendation engines. They’re pretty harmless and don’t have any special rules to follow.
- Unacceptable risk — Some systems are just too risky. The Act will ban any AI system or application that poses a clear threat to people’s fundamental rights.
This includes systems that manipulate human behavior or categorize people in real time, there’s a small exception for remote biometric identification used by law enforcement.
- Specific transparency risk — Users need to know when they’re interacting with AI. So, any deep fakes or AI-generated content must be clearly labelled.