28 Questions
What is one of the reasons for the need of ethical and reliable artificial intelligence?
The transmission of human biases to algorithms and data
Why did Amazon have to withdraw its algorithm for hiring?
It was discovered to be sexist and biased towards male candidates
What is suggested as a solution to mitigate bias in AI systems?
Diverse development teams for thorough supervision
How is artificial intelligence described in the text?
A tool that learns but does not understand
What is emphasized as essential for the development and use of AI?
Human involvement in creation, supervision, and usage
What is the primary focus of ethical AI according to the text?
Serving humanity and the common good
What is the role of human intelligence in relation to artificial intelligence?
Essential for the existence of artificial intelligence
What is the potential consequence of neglecting human involvement in AI development and usage?
Violation of fundamental rights and ethical standards
When is the official birth of artificial intelligence as a discipline linked to?
The 1956 Dartmouth Summer Research Project
What has driven major advancements in AI, including AlphaGo's victory over a world Go champion in 2015?
Deep learning powered by neural networks
What is the current state of AI characterized by?
Significant progress but still falls short in understanding and general intelligence
What is the current phase of AI, as per Moravec's paradox?
Narrow phase, capable of complex specific tasks but far from human general intelligence
What has significantly improved natural language processing, as seen in translation engines like Google Translate and DeepL?
Deep learning
What is the challenge in interpreting the decision-making processes of AI, especially in critical applications?
Decision-making processes are often difficult to interpret due to being 'black box' models
What does AI rely on for comprehending text, as per the provided text?
Probabilistic representation
What has attributed to the significant AI progress in the current era, as per the provided text?
Big Data phenomenon and increased computational power
What has the history of AI experienced due to unmet expectations?
Periods of funding cuts (called 'winters')
In what areas has AI achieved recent successes, as per the provided text?
Medicine, autonomous vehicles, and virtual assistants
What is the question of trust in AI attributed to?
The challenge of interpreting its decision-making processes, especially in critical applications
What has driven major advancements in AI, including AlphaGo's victory over a world Go champion in 2015?
Deep learning powered by neural networks
Who identified artificial intelligence as one of the three most promising areas?
Bill Gates
What is the test of reference for determining if a system exhibits intelligence, as per the text?
Turing Test
According to the Real Academia Española, how is artificial intelligence defined?
The study of computer programs executing human-like operations
When did the mathematician Alan Turing publish his famous article 'Computing Machinery and Intelligence'?
1950
What did Bill Gates identify as one of the three most promising areas?
Artificial intelligence
What is the Real Academia Española's definition of artificial intelligence?
Creating programs that execute operations comparable to human mind, like learning and logical reasoning
Who published the famous article 'Computing Machinery and Intelligence' in 1950?
Alan Turing
What is the Turing test used for?
Determining if a system exhibits intelligence
Study Notes
The Evolution of Artificial Intelligence
- The concept of machine intelligence is established when a person cannot distinguish between conversing with a machine or another person.
- The official birth of artificial intelligence as a discipline is linked to the 1956 Dartmouth Summer Research Project, where the term was coined.
- The history of AI has experienced periods of success (called "springs") and funding cuts (called "winters") due to unmet expectations.
- Despite past predictions, the current era is witnessing significant AI progress, attributed to factors like the Big Data phenomenon and increased computational power.
- Deep learning, powered by neural networks, has driven major advancements in AI, including AlphaGo's victory over a world Go champion in 2015.
- Deep learning has also significantly improved natural language processing, as seen in translation engines like Google Translate and DeepL.
- AI has achieved recent successes in specific areas such as medicine, autonomous vehicles, and virtual assistants.
- Current AI is in the "narrow" phase, capable of complex specific tasks but far from human general intelligence, as per Moravec's paradox.
- Despite impressive advancements in natural language processing, AI still cannot comprehend text, relying on probabilistic representation rather than domain knowledge.
- Even when AI algorithms achieve superhuman results, their decision-making processes are often difficult to interpret due to being "black box" models.
- The question of trust in AI arises due to the challenge of interpreting its decision-making processes, especially in critical applications.
- The current state of AI is characterized by significant progress but still falls short in understanding and general intelligence.
Explore the fascinating journey of artificial intelligence (AI) from its inception to the current era. Test your knowledge on the evolution of AI, from its historical milestones to recent advancements and the challenges it faces. Delve into the impact of deep learning, AI applications in various fields, and the complexities surrounding AI decision-making.
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