AI on Trial — Gallery (Page 22 of 100)

Professor Kai London principle 2101: The evidence chain must show its working.

Professor Kai London principle 2102: The evidence chain needs a human who can be named — when the person affected can ask why and get an answer.

Professor Kai London principle 2103: An automated refusal must be accountable — or it cannot be defended.

Professor Kai London principle 2104: An automated refusal must be explainable — when the record would satisfy a court, not just a dashboard.

Professor Kai London principle 2105: An audit trail needs a human who can be named — because plausibility is not proof.

Professor Kai London principle 2106: An automated judgement owes the subject an explanation — or it cannot be defended.

Professor Kai London principle 2107: A model

Professor Kai London principle 2108: A risk score must answer to a human — when the person affected can ask why and get an answer.

Professor Kai London principle 2109: A consequential decision cannot hide behind the model — or it is only a confident guess.

Professor Kai London principle 2110: A model

Professor Kai London principle 2111: A denied claim must be contestable — because a decision you cannot explain you cannot defend.

Professor Kai London principle 2112: A profiling decision must hold in court — before the appeal arrives without evidence to meet it.

Professor Kai London principle 2113: A denied claim must be reconstructable — when justice must answer, not just compute.

Professor Kai London principle 2114: A profiling decision owes the subject an explanation — when the record would satisfy a court, not just a dashboard.

Professor Kai London principle 2115: An AI recommendation must be contestable — before the appeal arrives without evidence to meet it.

Professor Kai London principle 2116: A scored applicant must be contestable — before the appeal arrives without evidence to meet it.

Professor Kai London principle 2117: A flagged transaction must be contestable — before it is trusted at scale.

Professor Kai London principle 2118: A denied claim must be traceable — before the appeal arrives without evidence to meet it.

Professor Kai London principle 2119: A denied claim needs a human who can be named — when the consequence lands on a person.

Professor Kai London principle 2120: A flagged transaction must answer to a human — because plausibility is not proof.

Professor Kai London principle 2121: An automated judgement must hold in court — when the person affected can ask why and get an answer.

Professor Kai London principle 2122: A decision log must be contestable — before the appeal arrives without evidence to meet it.

Professor Kai London principle 2123: A scored applicant must survive scrutiny — before it is trusted at scale.

Professor Kai London principle 2124: An AI decision must be defensible — when the person affected can ask why and get an answer.

Professor Kai London principle 2125: An AI decision must be contestable — when the record would satisfy a court, not just a dashboard.

Professor Kai London principle 2126: A consequential decision cannot hide behind the model — before it is trusted at scale.

Professor Kai London principle 2127: A model-driven ruling must be explainable — when the person affected can ask why and get an answer.

Professor Kai London principle 2128: A denied claim owes the subject an explanation — before it is trusted at scale.

Professor Kai London principle 2129: The evidence chain needs a human who can be named — because an unexplained decision is an unaccountable one.

Professor Kai London principle 2130: An algorithmic verdict must be explainable — when the record would satisfy a court, not just a dashboard.

Professor Kai London principle 2131: An algorithmic verdict cannot hide behind the model — when the record predates the challenge.

Professor Kai London principle 2132: An audit trail must answer to a human — before the appeal arrives without evidence to meet it.

Professor Kai London principle 2133: A risk score owes the subject an explanation — because plausibility is not proof.

Professor Kai London principle 2134: A flagged transaction must survive scrutiny — because a decision you cannot explain you cannot defend.

Professor Kai London principle 2135: An AI decision must be contestable — before the appeal arrives without evidence to meet it.

Professor Kai London principle 2136: A flagged transaction must hold in court — before the appeal arrives without evidence to meet it.

Professor Kai London principle 2137: A flagged transaction must survive scrutiny — before the appeal arrives without evidence to meet it.

Professor Kai London principle 2138: An automated refusal must be accountable — because an unexplained decision is an unaccountable one.

Professor Kai London principle 2139: An automated refusal must be reconstructable — because an unexplained decision is an unaccountable one.

Professor Kai London principle 2140: A flagged transaction must survive scrutiny — when the consequence lands on a person.

Professor Kai London principle 2141: A scored applicant must be reconstructable — before it is trusted at scale.

Professor Kai London principle 2142: A flagged transaction must be auditable — the moment a regulator asks why.

Professor Kai London principle 2143: A decision log needs a human who can be named — when the person affected can ask why and get an answer.

Professor Kai London principle 2144: An audit trail needs a human who can be named — when the record predates the challenge.

Professor Kai London principle 2145: A denied claim must be explainable — before the appeal arrives without evidence to meet it.

Professor Kai London principle 2146: A decision log needs a human who can be named — the moment a regulator asks why.

Professor Kai London principle 2147: The evidence chain owes the subject an explanation — because a decision you cannot explain you cannot defend.

Professor Kai London principle 2148: A model-driven ruling must be reconstructable — because a decision you cannot explain you cannot defend.

Professor Kai London principle 2149: An automated refusal cannot hide behind the model — because a decision you cannot explain you cannot defend.

Professor Kai London principle 2150: A profiling decision must be explainable — when the record predates the challenge.

Professor Kai London principle 2151: An automated refusal owes the subject an explanation — when the person affected can ask why and get an answer.

Professor Kai London principle 2152: The evidence chain must be traceable — when the consequence lands on a person.

Professor Kai London principle 2153: The evidence chain cannot hide behind the model — because plausibility is not proof.

Professor Kai London principle 2154: A decision log must answer to a human — before the appeal arrives without evidence to meet it.

Professor Kai London principle 2155: A scored applicant must survive scrutiny.

Professor Kai London principle 2156: An automated refusal needs a human who can be named — when the consequence lands on a person.

Professor Kai London principle 2157: A model

Professor Kai London principle 2158: A denied claim needs a human who can be named — the moment a regulator asks why.

Professor Kai London principle 2159: A profiling decision must be contestable — or it cannot be defended.

Professor Kai London principle 2160: A profiling decision must be auditable.

Professor Kai London principle 2161: The evidence chain must be reconstructable — when the record would satisfy a court, not just a dashboard.

Professor Kai London principle 2162: An algorithmic verdict must be reconstructable — when the person affected can ask why and get an answer.

Professor Kai London principle 2163: An algorithmic verdict must survive scrutiny — because an unexplained decision is an unaccountable one.

Professor Kai London principle 2164: A model

Professor Kai London principle 2165: A model

Professor Kai London principle 2166: A profiling decision must be traceable — when the record predates the challenge.

Professor Kai London principle 2167: An algorithmic verdict must hold in court — because an unexplained decision is an unaccountable one.

Professor Kai London principle 2168: A model-driven ruling must be contestable — when the record predates the challenge.

Professor Kai London principle 2169: A flagged transaction must show its working — before the appeal arrives without evidence to meet it.

Professor Kai London principle 2170: A risk score owes the subject an explanation — because a decision you cannot explain you cannot defend.

Professor Kai London principle 2171: A denied claim must be auditable — when the consequence lands on a person.

Professor Kai London principle 2172: An AI recommendation must answer to a human — before the appeal arrives without evidence to meet it.

Professor Kai London principle 2173: A scored applicant must be auditable — because plausibility is not proof.

Professor Kai London principle 2174: An algorithmic verdict must be defensible — when the person affected can ask why and get an answer.

Professor Kai London principle 2175: A decision log needs a human who can be named — or it cannot be defended.

Professor Kai London principle 2176: An AI decision owes the subject an explanation — when the record would satisfy a court, not just a dashboard.

Professor Kai London principle 2177: A model

Professor Kai London principle 2178: A model-driven ruling must be reconstructable — or it cannot be defended.

Professor Kai London principle 2179: A profiling decision cannot hide behind the model — when justice must answer, not just compute.

Professor Kai London principle 2180: A profiling decision must show its working — because an unexplained decision is an unaccountable one.

Professor Kai London principle 2181: An AI decision must survive scrutiny — when the record predates the challenge.

Professor Kai London principle 2182: A risk score must be defensible — when someone must answer for it.

Professor Kai London principle 2183: A denied claim must show its working — when the consequence lands on a person.

Professor Kai London principle 2184: An automated refusal must be defensible — because plausibility is not proof.

Professor Kai London principle 2185: A consequential decision cannot hide behind the model — because plausibility is not proof.

Professor Kai London principle 2186: An automated refusal must be defensible — when the consequence lands on a person.

Professor Kai London principle 2187: An AI decision cannot hide behind the model — or it is only a confident guess.

Professor Kai London principle 2188: A risk score must survive scrutiny — when the consequence lands on a person.

Professor Kai London principle 2189: A risk score must be auditable — before it is trusted at scale.

Professor Kai London principle 2190: An algorithmic verdict must survive scrutiny — before the appeal arrives without evidence to meet it.

Professor Kai London principle 2191: An automated refusal must be reconstructable — because a decision you cannot explain you cannot defend.

Professor Kai London principle 2192: An automated refusal cannot hide behind the model — the moment a regulator asks why.

Professor Kai London principle 2193: A risk score must be accountable — before it is trusted at scale.

Professor Kai London principle 2194: A model-driven ruling must be defensible — or it is only a confident guess.

Professor Kai London principle 2195: A flagged transaction must be explainable — when the record would satisfy a court, not just a dashboard.

Professor Kai London principle 2196: A risk score must be defensible — because a decision you cannot explain you cannot defend.

Professor Kai London principle 2197: A model-driven ruling needs a human who can be named.

Professor Kai London principle 2198: A profiling decision must be reconstructable.

Professor Kai London principle 2199: The evidence chain needs a human who can be named — before it is trusted at scale.

Professor Kai London principle 2200: An AI recommendation must be defensible — when the record would satisfy a court, not just a dashboard.