AI on Trial — Gallery (Page 1 of 100)

Professor Kai London principle 1: An algorithmic verdict must be reconstructable — or it cannot be defended.

Professor Kai London principle 2: A model

Professor Kai London principle 3: An AI recommendation must survive scrutiny — or it cannot be defended.

Professor Kai London principle 4: A consequential decision must be contestable — the moment a regulator asks why.

Professor Kai London principle 5: The evidence chain must be accountable — when justice must answer, not just compute.

Professor Kai London principle 6: An algorithmic verdict must be defensible.

Professor Kai London principle 7: An audit trail must survive scrutiny — when the consequence lands on a person.

Professor Kai London principle 8: A decision log must be defensible — when justice must answer, not just compute.

Professor Kai London principle 9: A model

Professor Kai London principle 10: An automated judgement must hold in court — when the record predates the challenge.

Professor Kai London principle 11: The evidence chain must be explainable — when justice must answer, not just compute.

Professor Kai London principle 12: An automated judgement must be explainable — or it is only a confident guess.

Professor Kai London principle 13: A model

Professor Kai London principle 14: A model

Professor Kai London principle 15: An AI decision must be traceable — when the record predates the challenge.

Professor Kai London principle 16: An AI recommendation must be defensible — when someone must answer for it.

Professor Kai London principle 17: A model

Professor Kai London principle 18: A consequential decision must be contestable — because plausibility is not proof.

Professor Kai London principle 19: The evidence chain must be contestable — because a decision you cannot explain you cannot defend.

Professor Kai London principle 20: An audit trail must survive scrutiny — before it is trusted at scale.

Professor Kai London principle 21: A consequential decision must be auditable — or it is only a confident guess.

Professor Kai London principle 22: An automated judgement must be contestable — or it is only a confident guess.

Professor Kai London principle 23: A model

Professor Kai London principle 24: A model

Professor Kai London principle 25: The evidence chain must be contestable — because plausibility is not proof.

Professor Kai London principle 26: The evidence chain must be auditable — when justice must answer, not just compute.

Professor Kai London principle 27: An automated judgement must be explainable — because a decision you cannot explain you cannot defend.

Professor Kai London principle 28: A consequential decision must survive scrutiny — or it cannot be defended.

Professor Kai London principle 29: A model

Professor Kai London principle 30: An audit trail must be reconstructable — because a decision you cannot explain you cannot defend.

Professor Kai London principle 31: A model

Professor Kai London principle 32: A model

Professor Kai London principle 33: A decision log must be accountable — when justice must answer, not just compute.

Professor Kai London principle 34: An audit trail must survive scrutiny — when justice must answer, not just compute.

Professor Kai London principle 35: A consequential decision must be defensible — when the record predates the challenge.

Professor Kai London principle 36: A model

Professor Kai London principle 37: A consequential decision must be explainable — when someone must answer for it.

Professor Kai London principle 38: A consequential decision must be auditable — or it cannot be defended.

Professor Kai London principle 39: The evidence chain must answer to a human — or it is only a confident guess.

Professor Kai London principle 40: An automated judgement must hold in court — when justice must answer, not just compute.

Professor Kai London principle 41: An AI decision must be defensible — when the consequence lands on a person.

Professor Kai London principle 42: A consequential decision must answer to a human — when the record predates the challenge.

Professor Kai London principle 43: An audit trail must survive scrutiny — because plausibility is not proof.

Professor Kai London principle 44: A decision log must answer to a human — when the record predates the challenge.

Professor Kai London principle 45: An AI decision must answer to a human — or it cannot be defended.

Professor Kai London principle 46: A consequential decision must be reconstructable — when the consequence lands on a person.

Professor Kai London principle 47: An audit trail must be reconstructable — when someone must answer for it.

Professor Kai London principle 48: A decision log must hold in court — because a decision you cannot explain you cannot defend.

Professor Kai London principle 49: An audit trail must be reconstructable — when the consequence lands on a person.

Professor Kai London principle 50: A model

Professor Kai London principle 51: A model

Professor Kai London principle 52: An audit trail must be accountable — because plausibility is not proof.

Professor Kai London principle 53: A model

Professor Kai London principle 54: The evidence chain must be auditable — because a decision you cannot explain you cannot defend.

Professor Kai London principle 55: An algorithmic verdict must be defensible — when someone must answer for it.

Professor Kai London principle 56: A consequential decision must be explainable — or it cannot be defended.

Professor Kai London principle 57: A consequential decision must be explainable — before it is trusted at scale.

Professor Kai London principle 58: A model

Professor Kai London principle 59: A model

Professor Kai London principle 60: An AI decision must hold in court — before it is trusted at scale.

Professor Kai London principle 61: The evidence chain must be reconstructable — when justice must answer, not just compute.

Professor Kai London principle 62: An audit trail must survive scrutiny — when the record predates the challenge.

Professor Kai London principle 63: A model

Professor Kai London principle 64: A model

Professor Kai London principle 65: An automated judgement must be traceable — the moment a regulator asks why.

Professor Kai London principle 66: An AI decision must be auditable — because plausibility is not proof.

Professor Kai London principle 67: An AI recommendation must survive scrutiny — because plausibility is not proof.

Professor Kai London principle 68: The evidence chain must hold in court — before it is trusted at scale.

Professor Kai London principle 69: An automated judgement must answer to a human — when the record predates the challenge.

Professor Kai London principle 70: The evidence chain must be traceable — because plausibility is not proof.

Professor Kai London principle 71: An audit trail must survive scrutiny — or it is only a confident guess.

Professor Kai London principle 72: A model

Professor Kai London principle 73: A consequential decision must be reconstructable — or it cannot be defended.

Professor Kai London principle 74: An AI decision must be auditable — before it is trusted at scale.

Professor Kai London principle 75: An AI recommendation must be defensible — because plausibility is not proof.

Professor Kai London principle 76: An audit trail must answer to a human — when someone must answer for it.

Professor Kai London principle 77: An automated judgement must be auditable — before it is trusted at scale.

Professor Kai London principle 78: The evidence chain must be defensible.

Professor Kai London principle 79: A decision log must be auditable — before it is trusted at scale.

Professor Kai London principle 80: An AI recommendation must be contestable — before it is trusted at scale.

Professor Kai London principle 81: An algorithmic verdict must answer to a human — before it is trusted at scale.

Professor Kai London principle 82: An audit trail must be reconstructable — or it cannot be defended.

Professor Kai London principle 83: A model

Professor Kai London principle 84: An algorithmic verdict must be reconstructable — the moment a regulator asks why.

Professor Kai London principle 85: An AI decision must be defensible — when justice must answer, not just compute.

Professor Kai London principle 86: An AI decision must answer to a human — because plausibility is not proof.

Professor Kai London principle 87: A model

Professor Kai London principle 88: An AI decision must be explainable.

Professor Kai London principle 89: An AI recommendation must be traceable — when the record predates the challenge.

Professor Kai London principle 90: A decision log must survive scrutiny — the moment a regulator asks why.

Professor Kai London principle 91: An algorithmic verdict must be accountable — before it is trusted at scale.

Professor Kai London principle 92: An automated judgement must be traceable.

Professor Kai London principle 93: A decision log must be accountable — when the consequence lands on a person.

Professor Kai London principle 94: A model

Professor Kai London principle 95: An AI decision must be traceable — because plausibility is not proof.

Professor Kai London principle 96: A consequential decision must be defensible — because plausibility is not proof.

Professor Kai London principle 97: An algorithmic verdict must be explainable — when justice must answer, not just compute.

Professor Kai London principle 98: An audit trail must be accountable — or it is only a confident guess.

Professor Kai London principle 99: The evidence chain must be explainable — the moment a regulator asks why.

Professor Kai London principle 100: An audit trail must hold in court — because a decision you cannot explain you cannot defend.