GE Elective 1.2 Flashcards

1
Q

innovations that are currently developing or will be developed over the next few years with the potential to significantly alter industries and society.

A

Emerging Technologies

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2
Q

refers to machines designed to mimic human intelligence, enabling them to learn, reason, and make decisions. It includes technologies like machine learning, natural language processing, and computer vision.

A

Artificial Intelligence

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3
Q

refers to a network of interconnected devices that collect, exchange, and act on data through embedded sensors and software.

A

Internet of Things (loT)

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4
Q

is a decentralized secure digital ledger that records transactions across multiple computers, ensuring transparency and immutability.

A

Blockchain

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5
Q

uses quantum-mechanical phenomena (e.g., superposition, entanglement) to perform complex calculations far beyond the capabilities of classical computers.

A

Quantum Computing

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6
Q

uses biological systems, organisms, or derivatives to develop technologies and products that improve human life and the environment.

A

Biotechnology

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7
Q

is technology development address the moral implications of how technologies are designed, implemented, and used.

A

Ethical Considerations

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8
Q

4 Key Issues in Ethical Considerations

A
  1. Privacy
  2. Bias
  3. Accountability
  4. Transparency
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9
Q

protecting individuals’ personal data from unauthorized access or misuse. For example, AI systems that collect user data must ensure compliance with privacy laws and ethical standards.

A

Privacy

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10
Q

ensuring fairness and avoiding discrimination in algorithms and data sets. For instance, biased AI in hiring tools can unfairly disadvantage certain groups.

A

Bias

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11
Q

establishing clear responsibility for the outcomes of technology use. If an autonomous vehicle causes an accident, who is liable - the manufacturer, software developer, or user?

A

Accountability

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12
Q

4.making technology processes understandable and accessible to users. For example, AI decision-making systems should provide explanations for their outputs to build trust.

A

Transparency

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13
Q

are sets of rules, policies, and laws that govern the development, deployment, and use of emerging technologies. They aim to protect public interests, ensure safety, and promote fair practices.

A

Regulatory Frameworks

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14
Q

3 Examples of Regulatory Frameworks

A
  1. General Data Protection Regulation (GDPR)
  2. AI Ethics Guidelines
  3. Cybersecurity Regulations
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15
Q

a European Union law that regulates data privacy and protection, requiring organizations to obtain user consent for data collection and ensure data security.

A

General Data Protection Regulation (GDPR)

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16
Q

policies like the EU’s Ethics Guidelines for Trustworthy AI provide principles for developing AI systems that are lawful, ethical, and robust.

A

AI Ethics Guidelines

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17
Q

laws such as the US Cybersecurity Information Sharing Act (CISA) mandate measures to protect critical infrastructure from cyber threats.

A

Cybersecurity Regulations

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18
Q

have far-reaching impacts across society, the economy, and the environment.

A

Emerging Technologies

19
Q

3 Impact of Emerging Technologies

A
  1. Societal Impact
  2. Economic Impact
  3. Environmental Impact
20
Q

the effects of technology on human behavior, social structures, and quality of life.

A

Societal Impact

21
Q

the influence of technology on industries, job markets, and economic growth.

A

Economic Impact

22
Q

the effects of technology on natural ecosystems and sustainability.

A

Environmental Impact

23
Q

are creating a wide range of career opportunities across industries.

A

Emerging Technologies

24
Q

Emerging Technology Careers: (5)

A

-AI Engineer
-Data Scientist
-IoT Developer
-Blockchain Analyst
-Quantum Computing Researcher

25
Emerging Technology Careers: Designs and develops artificial intelligence systems, including machine learning models and neural networks.
AI Engineer
26
Emerging Technology Careers: Analyzes complex data sets to extract insights and inform decision-making using tools like Python and R.
Data Scientist
27
Emerging Technology Careers: Builds and maintains interconnected devices and systems for applications like smart homes and industrial automation.
IoT Developer
28
Emerging Technology Careers: Specializes in developing and implementing blockchain solutions for secure transactions and data management.
Blockchain Analyst
29
Emerging Technology Careers: Explores the potential of quantum mechanics to solve computational problems beyond the reach of classical computers.
Quantum Computing Researcher
30
Technical Skills: (3)
-programming languages (e.g., Pythons, Java, C++) -data analysis and visualization tools (e.g., tableau, Power BI) -knowledge of AI frameworks (e.g., TensorFlow, PyTorch)
31
Soft Skills: (3)
-critical thinking and problem-solving -adaptability to new tools and technologies -communication and teamwork for cross-functional collaboration
32
are fundamental components of modern technology, enabling devices to interact with the physical world by detecting and responding to various inputs.
Sensors
33
are devices that detect changes in the environment (e.g., temperature, light, motion, pressure) and convert them into signals that can be measured and analyzed.
Sensors
34
They act as the “senses” of electronic systems, providing critical data for decision-making and automation.
Sensors
35
4 Types of Sensors
1. Proximity Sensors 2. Thermal Sensors 3. Biosensors 4. Environmental Sensors
36
detect the presence or absence of nearby objects without physical contact. Used in smartphones (e.g., turning off the screen during a call) and automotive systems (e.g., parking distance).
Proximity Sensors
37
measure temperature changes. Applications include climate control systems (e.g., thermostats) and industrial processes (e.g., monitoring machinery temperature).
Thermal Sensors
38
detect biological elements such as enzymes, antibodies, or DNA, widely used in healthcare for glucose monitoring in diabetic patients.
Biosensors
39
monitor environment parameters like air quality, humidity, and pollution levels. Used in smart cities and agricultural systems.
Environmental Sensors
40
Examples of Integration: (3)
-Smart Homes -Autonomous Vehicles -Industrial Automation
41
IoT-enabled devices like thermostats and security systems use sensors to collect data and AI to optimize performance.
Smart Homes
42
LiDAR, radar, and camera sensors provide a real-time data, which AI processes to enable self-driving capabilities.
Autonomous Vehicles
43
sensors monitor machinery and environmental conditions, while IoT and AI optimize production processes and predict maintenance needs.
Industrial Automation