Update src/ethics/ethics.py

src/ethics/ethics.py

@@ -0,0 +1,60 @@
+# © 2025 Elena Marziali — Code released under Apache 2.0 license.
+# See LICENSE in the repository for details.
+# Removal of this copyright is prohibited.
+
+# This module analyzes responses to detect bias, misinformation,
+# non-neutral language, or potentially harmful content.
+
+# The system flags problematic content and suggests revisions.
+def check_agent_autonomy(question: str, authorization_level: int):
+    if "sub-goal" in question.lower() and authorization_level < 2:
+        logging.warning("Sensitive content detected, but generation will not be blocked.")
+        return "Ethics: potentially sensitive content"
+    return "Ethics: normal content"
+
+# Checks the agent's degree of autonomy
+# Used to monitor whether the system is acting too independently or out of context
+def assess_ethical_risk(content, domain="scientific"):
+    """
+    Evaluates whether the AI response contains implicit ethical risks.
+    Analyzes textual content for potential bias, manipulation, or inappropriateness.
+    """
+    risk = {
+        "potential_manipulation": False,
+        "misinformation_risk": False,
+        "linguistic_bias": False,
+        "critical_topic": False,
+        "neutral_language": True,
+        "environmental_risk": "Moderate",
+        "revision_suggestion": None
+    }
+
+    text_lower = content.lower()
+    if "vaccine" in text_lower or "gender" in text_lower or "politics" in text_lower:
+        risk["critical_topic"] = True
+
+    if "all men" in text_lower or "women are" in text_lower:
+        risk["linguistic_bias"] = True
+        risk["neutral_language"] = False
+        risk["revision_suggestion"] = "Rephrase with attention to inclusive language."
+
+    if "according to experts without citing sources" in text_lower:
+        risk["misinformation_risk"] = True
+        risk["revision_suggestion"] = "Add reliable sources or remove absolute claims."
+
+    return risk
+
+# Example prompt
+prompt = "Discuss the potential risks of generative artificial intelligence in the context of medicine."
+
+# Model invocation
+output_ai = llm.invoke(prompt).content.strip()
+
+# Ethical evaluation of the response
+ethical_check = assess_ethical_risk(output_ai)
+
+if ethical_check["revision_suggestion"]:
+    print(f"Ethics: {ethical_check['revision_suggestion']}")
+
+output_ai = llm.invoke(prompt).content.strip()
+ethical_check = assess_ethical_risk(output_ai)