Exploring Deep Learning and AI Ethics

What does 'Deep Learning' try to mimic?

• A computer algorithm

• A decision tree model

• The human brain

• A simple neural network

What is one major ethical concern with AI?

• AI is always objective

• AI can solve all problems

• AI has no impact on society

• Bias in decision-making

What kind of AI processes vast amounts of data?

• Natural Language Processing AI

• Machine Learning and Deep Learning AI

• Expert Systems AI

• Robotic Process Automation AI

What is the primary function of a neural network?

• The primary function of a neural network is to approximate complex functions for tasks such as classification and regression.

• To perform basic arithmetic operations.

• To store and retrieve data efficiently.

• To generate random numbers for simulations.

How does AI impact job automation?

• AI has no impact on job roles or employment trends.

• AI only affects low-skilled jobs, leaving high-skilled jobs untouched.

• AI automates jobs by performing tasks traditionally done by humans, leading to job displacement and the creation of new roles.

• AI creates more jobs without displacing any workers.

What is a common method for training AI models?

• Unsupervised analysis

• Reinforcement learning

• Supervised learning

• Genetic algorithms

What role does data privacy play in AI development?

• Data privacy is solely about data storage methods.

• Data privacy only affects hardware, not software.

• Data privacy is irrelevant to AI development.

• Data privacy ensures protection of personal information, builds user trust, and complies with legal regulations in AI development.

What is overfitting in the context of machine learning?

• Overfitting is when a model performs well on unseen data but poorly on training data.

• Overfitting is when a model performs well on training data but poorly on unseen data due to excessive complexity.

• Overfitting is when a model is trained on too little data, leading to poor performance.

• Overfitting occurs when a model is too simple and cannot capture the underlying patterns in the data.

How can bias in AI systems be mitigated?

• Mitigate bias by using diverse data, applying bias detection algorithms, and ongoing evaluation.

• Limit evaluation to initial deployment only

• Ignore bias detection entirely

• Use only synthetic data for training

What are the potential benefits of AI in healthcare?

• The potential benefits of AI in healthcare include improved diagnostics, personalized treatment, efficiency in administrative tasks, predictive analytics, and enhanced patient monitoring.

• Limited access to medical records

• Reduced patient engagement

• Increased hospital costs