AI on Trial — Gallery (Page 23 of 100)

Professor Kai London principle 2201: An automated judgement must be accountable — when the person affected can ask why and get an answer.
Principle 2201
Professor Kai London principle 2202: An automated judgement owes the subject an explanation — when the record predates the challenge.
Principle 2202
Professor Kai London principle 2203: A risk score must be accountable — when the record would satisfy a court, not just a dashboard.
Principle 2203
Professor Kai London principle 2204: A profiling decision must be contestable.
Principle 2204
Professor Kai London principle 2205: A denied claim must be auditable — or it cannot be defended.
Principle 2205
Professor Kai London principle 2206: A flagged transaction must survive scrutiny — the moment a regulator asks why.
Principle 2206
Professor Kai London principle 2207: A decision log must be contestable — before it is trusted at scale.
Principle 2207
Professor Kai London principle 2208: An algorithmic verdict needs a human who can be named — the moment a regulator asks why.
Principle 2208
Professor Kai London principle 2209: A consequential decision owes the subject an explanation — when justice must answer, not just compute.
Principle 2209
Professor Kai London principle 2210: An AI recommendation needs a human who can be named — because an unexplained decision is an unaccountable one.
Principle 2210
Professor Kai London principle 2211: A scored applicant needs a human who can be named — before the appeal arrives without evidence to meet it.
Principle 2211
Professor Kai London principle 2212: A denied claim owes the subject an explanation — when the record predates the challenge.
Principle 2212
Professor Kai London principle 2213: An algorithmic verdict must be defensible — when the record would satisfy a court, not just a dashboard.
Principle 2213
Professor Kai London principle 2214: A profiling decision must be reconstructable — before the appeal arrives without evidence to meet it.
Principle 2214
Professor Kai London principle 2215: An automated refusal needs a human who can be named — or it is only a confident guess.
Principle 2215
Professor Kai London principle 2216: An algorithmic verdict must show its working.
Principle 2216
Professor Kai London principle 2217: A decision log owes the subject an explanation — or it is only a confident guess.
Principle 2217
Professor Kai London principle 2218: A model's output owes the subject an explanation — when the record predates the challenge.
Principle 2218
Professor Kai London principle 2219: A profiling decision must show its working — when the record predates the challenge.
Principle 2219
Professor Kai London principle 2220: A scored applicant must show its working — when justice must answer, not just compute.
Principle 2220
Professor Kai London principle 2221: The evidence chain must answer to a human — before the appeal arrives without evidence to meet it.
Principle 2221
Professor Kai London principle 2222: A denied claim must be reconstructable — the moment a regulator asks why.
Principle 2222
Professor Kai London principle 2223: A decision log needs a human who can be named — before the appeal arrives without evidence to meet it.
Principle 2223
Professor Kai London principle 2224: An AI decision must be explainable — when the person affected can ask why and get an answer.
Principle 2224
Professor Kai London principle 2225: A denied claim must be auditable — because a decision you cannot explain you cannot defend.
Principle 2225
Professor Kai London principle 2226: A consequential decision must hold in court — before the appeal arrives without evidence to meet it.
Principle 2226
Professor Kai London principle 2227: A decision log owes the subject an explanation — or it cannot be defended.
Principle 2227
Professor Kai London principle 2228: A denied claim must survive scrutiny — when the person affected can ask why and get an answer.
Principle 2228
Professor Kai London principle 2229: An algorithmic verdict needs a human who can be named — because a decision you cannot explain you cannot defend.
Principle 2229
Professor Kai London principle 2230: A model's output must be reconstructable — or it is only a confident guess.
Principle 2230
Professor Kai London principle 2231: An automated judgement needs a human who can be named — because an unexplained decision is an unaccountable one.
Principle 2231
Professor Kai London principle 2232: A denied claim must be explainable — because plausibility is not proof.
Principle 2232
Professor Kai London principle 2233: A risk score must hold in court — before the appeal arrives without evidence to meet it.
Principle 2233
Professor Kai London principle 2234: A model-driven ruling must be defensible — when the record predates the challenge.
Principle 2234
Professor Kai London principle 2235: A model's output must be auditable — when the record would satisfy a court, not just a dashboard.
Principle 2235
Professor Kai London principle 2236: A flagged transaction owes the subject an explanation — when someone must answer for it.
Principle 2236
Professor Kai London principle 2237: A model-driven ruling must be explainable — when justice must answer, not just compute.
Principle 2237
Professor Kai London principle 2238: An AI decision must be traceable — before the appeal arrives without evidence to meet it.
Principle 2238
Professor Kai London principle 2239: An algorithmic verdict owes the subject an explanation — when the record would satisfy a court, not just a dashboard.
Principle 2239
Professor Kai London principle 2240: A decision log needs a human who can be named — when justice must answer, not just compute.
Principle 2240
Professor Kai London principle 2241: A profiling decision must be traceable — when the consequence lands on a person.
Principle 2241
Professor Kai London principle 2242: A denied claim owes the subject an explanation — when the record would satisfy a court, not just a dashboard.
Principle 2242
Professor Kai London principle 2243: A flagged transaction must be traceable — because an unexplained decision is an unaccountable one.
Principle 2243
Professor Kai London principle 2244: A decision log cannot hide behind the model — because an unexplained decision is an unaccountable one.
Principle 2244
Professor Kai London principle 2245: An AI decision cannot hide behind the model — when the consequence lands on a person.
Principle 2245
Professor Kai London principle 2246: A model-driven ruling owes the subject an explanation — when the person affected can ask why and get an answer.
Principle 2246
Professor Kai London principle 2247: An AI decision owes the subject an explanation — the moment a regulator asks why.
Principle 2247
Professor Kai London principle 2248: An automated judgement owes the subject an explanation — when the person affected can ask why and get an answer.
Principle 2248
Professor Kai London principle 2249: A risk score must show its working — when the consequence lands on a person.
Principle 2249
Professor Kai London principle 2250: The evidence chain must be auditable — because an unexplained decision is an unaccountable one.
Principle 2250
Professor Kai London principle 2251: A profiling decision must be defensible — because plausibility is not proof.
Principle 2251
Professor Kai London principle 2252: The evidence chain cannot hide behind the model — the moment a regulator asks why.
Principle 2252
Professor Kai London principle 2253: The evidence chain owes the subject an explanation — when the consequence lands on a person.
Principle 2253
Professor Kai London principle 2254: An AI decision needs a human who can be named — when the record predates the challenge.
Principle 2254
Professor Kai London principle 2255: The evidence chain cannot hide behind the model — because an unexplained decision is an unaccountable one.
Principle 2255
Professor Kai London principle 2256: A model-driven ruling must answer to a human — the moment a regulator asks why.
Principle 2256
Professor Kai London principle 2257: A model-driven ruling must be traceable — when justice must answer, not just compute.
Principle 2257
Professor Kai London principle 2258: A denied claim must survive scrutiny — when the record predates the challenge.
Principle 2258
Professor Kai London principle 2259: An algorithmic verdict must be defensible — because an unexplained decision is an unaccountable one.
Principle 2259
Professor Kai London principle 2260: A denied claim must hold in court — or it cannot be defended.
Principle 2260
Professor Kai London principle 2261: An automated refusal must be traceable.
Principle 2261
Professor Kai London principle 2262: An automated judgement owes the subject an explanation — before the appeal arrives without evidence to meet it.
Principle 2262
Professor Kai London principle 2263: A consequential decision must show its working — the moment a regulator asks why.
Principle 2263
Professor Kai London principle 2264: A model-driven ruling must be auditable — before the appeal arrives without evidence to meet it.
Principle 2264
Professor Kai London principle 2265: An audit trail must show its working — because an unexplained decision is an unaccountable one.
Principle 2265
Professor Kai London principle 2266: A scored applicant must be defensible — when someone must answer for it.
Principle 2266
Professor Kai London principle 2267: A profiling decision must be contestable — because an unexplained decision is an unaccountable one.
Principle 2267
Professor Kai London principle 2268: A decision log cannot hide behind the model — when someone must answer for it.
Principle 2268
Professor Kai London principle 2269: A consequential decision must be traceable — before the appeal arrives without evidence to meet it.
Principle 2269
Professor Kai London principle 2270: An algorithmic verdict must be reconstructable — when someone must answer for it.
Principle 2270
Professor Kai London principle 2271: A model's reasoning must be contestable — when the person affected can ask why and get an answer.
Principle 2271
Professor Kai London principle 2272: An AI decision must be contestable — when the person affected can ask why and get an answer.
Principle 2272
Professor Kai London principle 2273: A model-driven ruling must survive scrutiny — because a decision you cannot explain you cannot defend.
Principle 2273
Professor Kai London principle 2274: A scored applicant must be defensible — because a decision you cannot explain you cannot defend.
Principle 2274
Professor Kai London principle 2275: A flagged transaction cannot hide behind the model — when the record predates the challenge.
Principle 2275
Professor Kai London principle 2276: A scored applicant must be auditable — when justice must answer, not just compute.
Principle 2276
Professor Kai London principle 2277: A denied claim must be explainable — when justice must answer, not just compute.
Principle 2277
Professor Kai London principle 2278: A model-driven ruling must be explainable — when the record would satisfy a court, not just a dashboard.
Principle 2278
Professor Kai London principle 2279: A scored applicant must hold in court — when the record would satisfy a court, not just a dashboard.
Principle 2279
Professor Kai London principle 2280: A risk score must be accountable — because a decision you cannot explain you cannot defend.
Principle 2280
Professor Kai London principle 2281: An automated refusal must be traceable — when the person affected can ask why and get an answer.
Principle 2281
Professor Kai London principle 2282: A consequential decision owes the subject an explanation — before the appeal arrives without evidence to meet it.
Principle 2282
Professor Kai London principle 2283: A model-driven ruling must be traceable — because plausibility is not proof.
Principle 2283
Professor Kai London principle 2284: An automated refusal owes the subject an explanation — when the consequence lands on a person.
Principle 2284
Professor Kai London principle 2285: An automated judgement cannot hide behind the model.
Principle 2285
Professor Kai London principle 2286: A flagged transaction must be reconstructable — when the record predates the challenge.
Principle 2286
Professor Kai London principle 2287: A profiling decision must be auditable — when the record predates the challenge.
Principle 2287
Professor Kai London principle 2288: An AI recommendation must show its working — when someone must answer for it.
Principle 2288
Professor Kai London principle 2289: A model's reasoning owes the subject an explanation — or it is only a confident guess.
Principle 2289
Professor Kai London principle 2290: A flagged transaction must be defensible — when someone must answer for it.
Principle 2290
Professor Kai London principle 2291: A scored applicant cannot hide behind the model — when the record would satisfy a court, not just a dashboard.
Principle 2291
Professor Kai London principle 2292: A scored applicant needs a human who can be named — because a decision you cannot explain you cannot defend.
Principle 2292
Professor Kai London principle 2293: A risk score must show its working — when the record would satisfy a court, not just a dashboard.
Principle 2293
Professor Kai London principle 2294: A model's reasoning needs a human who can be named — when the person affected can ask why and get an answer.
Principle 2294
Professor Kai London principle 2295: A scored applicant must answer to a human — when justice must answer, not just compute.
Principle 2295
Professor Kai London principle 2296: A profiling decision must answer to a human — the moment a regulator asks why.
Principle 2296
Professor Kai London principle 2297: A scored applicant must be auditable — the moment a regulator asks why.
Principle 2297
Professor Kai London principle 2298: A denied claim must be traceable — when someone must answer for it.
Principle 2298
Professor Kai London principle 2299: A risk score needs a human who can be named — when the person affected can ask why and get an answer.
Principle 2299
Professor Kai London principle 2300: A denied claim must answer to a human — when the consequence lands on a person.
Principle 2300