Artificial Intelligence
por Venika Thakur
1. Disadvantages of Artificial Intelligence
1.1. limitations of Artificial Intelligence in terms of understanding contexts like humans?
1.2. Potential high costs of maintaining and managing AI systems?
1.3. To what extent does Artificial Intelligence lack creativity and adaptability? How does this further effect the outcome negatively?
1.4. Why is Artificial Intelligence unpreferred when it comes to job displacement?
1.5. To what extent may Artificial Intelligence take over jobs in the future and how will this effect society?
1.6. What are the limitations of relying on Artificial intelligence in certain situations and therefore its effective on the outcome?
1.7. What questions can't AI answer?
1.8. What can't AI replace?
2. How is Artificial Intelligence applied in the workplace?
2.1. Agriculture
2.1.1. AI models used to identify different types of grain varieties, identify defects and nutrient deficiencies in the soil, analyse where weeds are growing
2.2. Education
2.2.1. Augmented & Virtual Reality in education, personalised learning, plagurism detections
2.3. Healthcare Industry
2.3.1. Virtual Digital Medical Assistant, medical research, keeping track of medical records, image analysis, healthcare data analyser and interpreter
2.4. How does Artificial Intelligence optimise processes in the workplace?
2.5. How is Artificial Intelligence used in the workplace for cybersecurity and fraud detection?
2.6. To what extent can Artificial Intelligence be used to analyse data and make decision in the workplace? (E.g. Artificial Intelligence is trained on historical data and its decisions are based on the patterns found in that data, so if the training data is incomplete or bias, it will effect AI's decision making).
2.7. What are the limitations or potential benefits of Artificial intelligence in terms of understanding complex situations in the workplace?
2.8. What is Artificial Intelligence's role in privacy protection and data security in the workplace?
3. Challenges associated with Artificial Intelligence
3.1. What are the challenges associated with the deployment of Artificial Intelligence?
3.2. Challenges in developing Artificial Intelligence?
3.3. What are the challenges involved in data collection and data quality for training AI models?
3.4. What are the challenges in receiving reliable, accurate and valid results with AI?
3.5. Ethical concerns and biases associated with the use of Artificial Intelligence
3.6. Challenges in developing AI systems with higher level of adaptability?
3.7. What are the challenges linked with upskilling workers to adapt to an AI driven environment?
3.8. What is the biggest problem in AI?
3.9. Who is responsible for the mistakes AI makes?
4. Future of Artificial Intelligence
4.1. Will artificial intelligence become smarter than humans?
4.2. How will AI progress over the decades?
4.3. Should humans fear the advances in artificial inteliigence?
4.4. Can artificial intelligence be dangerous, and if so to what extent?
4.5. Should artificial intelligence be studied in schools?
4.6. Is it possible to teach AI empathy, ethics and compassion?
4.7. Will AI be able to predict future events?
4.8. Will AI become a threat in the future?
5. History of AI Generative Models
5.1. Who was the first person to invent AI Generative Models and how did it begin?
5.2. What are the major milestones in Artificial Intelligence's development?
5.3. Different generative models that have been developed overtime?
5.4. What are the advancement in training methods for generative models?
5.5. How did the purpose of AI develop overtime?
5.6. Earliest examples of AI models and their contribution to the filed?
6. AI techniques and basic concpets
6.1. Fundamentals of AI algorithms (machine learning etc)?
6.2. Popular learning techniques used in AI?
6.2.1. Machine Learning
6.2.1.1. Supervised Learning, Unsupervised Learning, Reinforcement Learning, Deep Learning