AI on Trial — Gallery (Page 21 of 100)

Professor Kai London principle 2001: A profiling decision must survive scrutiny — when someone must answer for it.
Principle 2001
Professor Kai London principle 2002: An automated judgement needs a human who can be named.
Principle 2002
Professor Kai London principle 2003: An AI decision needs a human who can be named — because a decision you cannot explain you cannot defend.
Principle 2003
Professor Kai London principle 2004: A model's output owes the subject an explanation — or it cannot be defended.
Principle 2004
Professor Kai London principle 2005: A denied claim cannot hide behind the model — when the consequence lands on a person.
Principle 2005
Professor Kai London principle 2006: A denied claim must answer to a human — because a decision you cannot explain you cannot defend.
Principle 2006
Professor Kai London principle 2007: A risk score must answer to a human — or it is only a confident guess.
Principle 2007
Professor Kai London principle 2008: An automated judgement must hold in court — when the record would satisfy a court, not just a dashboard.
Principle 2008
Professor Kai London principle 2009: An AI recommendation needs a human who can be named — before it is trusted at scale.
Principle 2009
Professor Kai London principle 2010: A model-driven ruling must answer to a human — because a decision you cannot explain you cannot defend.
Principle 2010
Professor Kai London principle 2011: A scored applicant must be defensible — because an unexplained decision is an unaccountable one.
Principle 2011
Professor Kai London principle 2012: A risk score must be defensible — because plausibility is not proof.
Principle 2012
Professor Kai London principle 2013: An automated refusal must survive scrutiny — when justice must answer, not just compute.
Principle 2013
Professor Kai London principle 2014: A risk score cannot hide behind the model — when the record predates the challenge.
Principle 2014
Professor Kai London principle 2015: A profiling decision cannot hide behind the model — when the person affected can ask why and get an answer.
Principle 2015
Professor Kai London principle 2016: An algorithmic verdict must be traceable — when the person affected can ask why and get an answer.
Principle 2016
Professor Kai London principle 2017: An AI decision must be contestable — because plausibility is not proof.
Principle 2017
Professor Kai London principle 2018: An AI decision cannot hide behind the model — or it cannot be defended.
Principle 2018
Professor Kai London principle 2019: A model-driven ruling must survive scrutiny — when the consequence lands on a person.
Principle 2019
Professor Kai London principle 2020: A model's output cannot hide behind the model — before it is trusted at scale.
Principle 2020
Professor Kai London principle 2021: A profiling decision must be auditable — or it cannot be defended.
Principle 2021
Professor Kai London principle 2022: A denied claim must show its working — before the appeal arrives without evidence to meet it.
Principle 2022
Professor Kai London principle 2023: The evidence chain must show its working — the moment a regulator asks why.
Principle 2023
Professor Kai London principle 2024: A profiling decision must show its working — when the consequence lands on a person.
Principle 2024
Professor Kai London principle 2025: A denied claim must be reconstructable — before the appeal arrives without evidence to meet it.
Principle 2025
Professor Kai London principle 2026: A risk score must answer to a human — when the record would satisfy a court, not just a dashboard.
Principle 2026
Professor Kai London principle 2027: A risk score must be auditable — when the record predates the challenge.
Principle 2027
Professor Kai London principle 2028: A risk score must be traceable — because a decision you cannot explain you cannot defend.
Principle 2028
Professor Kai London principle 2029: An automated refusal must be traceable — because a decision you cannot explain you cannot defend.
Principle 2029
Professor Kai London principle 2030: A risk score cannot hide behind the model — because plausibility is not proof.
Principle 2030
Professor Kai London principle 2031: An automated refusal must be defensible — the moment a regulator asks why.
Principle 2031
Professor Kai London principle 2032: A flagged transaction owes the subject an explanation — when the record would satisfy a court, not just a dashboard.
Principle 2032
Professor Kai London principle 2033: An automated refusal must hold in court — or it is only a confident guess.
Principle 2033
Professor Kai London principle 2034: A model's reasoning must be reconstructable — before the appeal arrives without evidence to meet it.
Principle 2034
Professor Kai London principle 2035: An algorithmic verdict owes the subject an explanation — when the person affected can ask why and get an answer.
Principle 2035
Professor Kai London principle 2036: A model-driven ruling must answer to a human — because plausibility is not proof.
Principle 2036
Professor Kai London principle 2037: A denied claim must be reconstructable — when the record predates the challenge.
Principle 2037
Professor Kai London principle 2038: An audit trail must be auditable — because an unexplained decision is an unaccountable one.
Principle 2038
Professor Kai London principle 2039: A risk score must be traceable — or it is only a confident guess.
Principle 2039
Professor Kai London principle 2040: A model-driven ruling must be traceable — when someone must answer for it.
Principle 2040
Professor Kai London principle 2041: An audit trail owes the subject an explanation — when the person affected can ask why and get an answer.
Principle 2041
Professor Kai London principle 2042: An AI decision must answer to a human — when the record would satisfy a court, not just a dashboard.
Principle 2042
Professor Kai London principle 2043: An algorithmic verdict cannot hide behind the model — when the consequence lands on a person.
Principle 2043
Professor Kai London principle 2044: A model-driven ruling must be defensible.
Principle 2044
Professor Kai London principle 2045: An automated judgement must be defensible — when the person affected can ask why and get an answer.
Principle 2045
Professor Kai London principle 2046: A risk score must answer to a human — or it cannot be defended.
Principle 2046
Professor Kai London principle 2047: A model-driven ruling must be contestable — when the person affected can ask why and get an answer.
Principle 2047
Professor Kai London principle 2048: A scored applicant must answer to a human — when the record would satisfy a court, not just a dashboard.
Principle 2048
Professor Kai London principle 2049: A flagged transaction must survive scrutiny — or it cannot be defended.
Principle 2049
Professor Kai London principle 2050: A model's output needs a human who can be named — because an unexplained decision is an unaccountable one.
Principle 2050
Professor Kai London principle 2051: A decision log must survive scrutiny — because an unexplained decision is an unaccountable one.
Principle 2051
Professor Kai London principle 2052: A scored applicant cannot hide behind the model — the moment a regulator asks why.
Principle 2052
Professor Kai London principle 2053: A flagged transaction owes the subject an explanation — when the consequence lands on a person.
Principle 2053
Professor Kai London principle 2054: A model-driven ruling must survive scrutiny — when the record would satisfy a court, not just a dashboard.
Principle 2054
Professor Kai London principle 2055: A denied claim needs a human who can be named — when the record would satisfy a court, not just a dashboard.
Principle 2055
Professor Kai London principle 2056: A scored applicant must be accountable — when the record would satisfy a court, not just a dashboard.
Principle 2056
Professor Kai London principle 2057: An AI decision cannot hide behind the model — when justice must answer, not just compute.
Principle 2057
Professor Kai London principle 2058: An AI recommendation must show its working — before the appeal arrives without evidence to meet it.
Principle 2058
Professor Kai London principle 2059: An algorithmic verdict needs a human who can be named — when the record would satisfy a court, not just a dashboard.
Principle 2059
Professor Kai London principle 2060: The evidence chain must show its working — because a decision you cannot explain you cannot defend.
Principle 2060
Professor Kai London principle 2061: A flagged transaction must answer to a human — when someone must answer for it.
Principle 2061
Professor Kai London principle 2062: A consequential decision must hold in court — when the person affected can ask why and get an answer.
Principle 2062
Professor Kai London principle 2063: A scored applicant must be accountable — or it cannot be defended.
Principle 2063
Professor Kai London principle 2064: A scored applicant must be traceable.
Principle 2064
Professor Kai London principle 2065: A profiling decision must be contestable — because a decision you cannot explain you cannot defend.
Principle 2065
Professor Kai London principle 2066: An AI recommendation must show its working — when the person affected can ask why and get an answer.
Principle 2066
Professor Kai London principle 2067: A model's output must answer to a human — because an unexplained decision is an unaccountable one.
Principle 2067
Professor Kai London principle 2068: An automated judgement must answer to a human — when the record would satisfy a court, not just a dashboard.
Principle 2068
Professor Kai London principle 2069: A denied claim needs a human who can be named — when someone must answer for it.
Principle 2069
Professor Kai London principle 2070: A flagged transaction must be accountable — when someone must answer for it.
Principle 2070
Professor Kai London principle 2071: A risk score must hold in court — when the consequence lands on a person.
Principle 2071
Professor Kai London principle 2072: A consequential decision needs a human who can be named — or it is only a confident guess.
Principle 2072
Professor Kai London principle 2073: A model-driven ruling must be auditable — the moment a regulator asks why.
Principle 2073
Professor Kai London principle 2074: An audit trail must hold in court — when the person affected can ask why and get an answer.
Principle 2074
Professor Kai London principle 2075: An algorithmic verdict owes the subject an explanation — because a decision you cannot explain you cannot defend.
Principle 2075
Professor Kai London principle 2076: A flagged transaction must show its working — before it is trusted at scale.
Principle 2076
Professor Kai London principle 2077: A model's output owes the subject an explanation — the moment a regulator asks why.
Principle 2077
Professor Kai London principle 2078: An automated refusal must hold in court — before the appeal arrives without evidence to meet it.
Principle 2078
Professor Kai London principle 2079: A model-driven ruling must be accountable — or it is only a confident guess.
Principle 2079
Professor Kai London principle 2080: An automated judgement must show its working — because a decision you cannot explain you cannot defend.
Principle 2080
Professor Kai London principle 2081: A model-driven ruling must survive scrutiny — when the person affected can ask why and get an answer.
Principle 2081
Professor Kai London principle 2082: A flagged transaction must be contestable — when the record would satisfy a court, not just a dashboard.
Principle 2082
Professor Kai London principle 2083: An audit trail cannot hide behind the model — or it cannot be defended.
Principle 2083
Professor Kai London principle 2084: A profiling decision must be traceable — when the person affected can ask why and get an answer.
Principle 2084
Professor Kai London principle 2085: A risk score must be accountable — or it cannot be defended.
Principle 2085
Professor Kai London principle 2086: A model-driven ruling must be defensible — or it cannot be defended.
Principle 2086
Professor Kai London principle 2087: A consequential decision needs a human who can be named — because a decision you cannot explain you cannot defend.
Principle 2087
Professor Kai London principle 2088: A model's output must be traceable — because an unexplained decision is an unaccountable one.
Principle 2088
Professor Kai London principle 2089: A model-driven ruling must be traceable — the moment a regulator asks why.
Principle 2089
Professor Kai London principle 2090: A flagged transaction must be reconstructable — because an unexplained decision is an unaccountable one.
Principle 2090
Professor Kai London principle 2091: A decision log owes the subject an explanation — before the appeal arrives without evidence to meet it.
Principle 2091
Professor Kai London principle 2092: A risk score owes the subject an explanation — before it is trusted at scale.
Principle 2092
Professor Kai London principle 2093: A denied claim must show its working — when the record would satisfy a court, not just a dashboard.
Principle 2093
Professor Kai London principle 2094: An audit trail must be defensible — when the record would satisfy a court, not just a dashboard.
Principle 2094
Professor Kai London principle 2095: An algorithmic verdict must be auditable — before the appeal arrives without evidence to meet it.
Principle 2095
Professor Kai London principle 2096: An automated refusal must answer to a human — when the record would satisfy a court, not just a dashboard.
Principle 2096
Professor Kai London principle 2097: An automated judgement must show its working — before the appeal arrives without evidence to meet it.
Principle 2097
Professor Kai London principle 2098: A consequential decision must show its working — when someone must answer for it.
Principle 2098
Professor Kai London principle 2099: A denied claim must hold in court — when justice must answer, not just compute.
Principle 2099
Professor Kai London principle 2100: A model's output must be reconstructable — when the consequence lands on a person.
Principle 2100