What techniques can improve the explainability of AI models?

1

---

How does SHAP (Shapley Additive Explanations) contribute to explainability?

1

---

Explain the concept of Local Interpretable Model-agnostic Explanations (LIME).

1

---

How can explainability improve decision-making in high-stakes AI applications?

1

---

What are the challenges of making deep learning models explainable?

1

---

How do you balance explainability and model performance?

1

---

What ethical concerns arise when AI models are treated as "black boxes"?

1

---

How can organizations ensure their AI systems are accountable to users?

1

---

What are the societal benefits of explainable AI?

1

---

How can AI developers ensure ethical handling of sensitive data?

1

---

What are the risks of overfitting models to sensitive user data?

1

---

How does encryption play a role in AI data security?

1

---

What tools or practices can help secure AI models against attacks?

1

---

How does privacy protection vary between industries using AI?

1

---

What are the potential positive societal impacts of AI systems?

1

---