A method performed by a hazard reporting system for enabling a vehicle occupant to report a hazard associated with the surroundings of a vehicle , said method comprising: receiving a verbal hazard report from said vehicle occupant , said verbal hazard report comprising information related to a hazard associated with the surroundings of said vehicle ; transforming , with support from a speech recognition service, said verbal hazard report into a resulting machine-readable hazard report (42, 42', 42"); providing a data set (5, 5', 5") comprising a plurality of hazard categories (6, 6', 6"); the method being characterized in comprising: applying a classification model associated with said data set , to said machine-readable hazard report , said classification model being adapted to attempt to classify said machine-readable hazard report into a hazard category of the plurality of hazard categories considered corresponding to said machine-readable hazard report ;.and when identifying the hazard category (6, 6', 6") of said data set (5, 5', 5") considered corresponding (60, 60', 60") to said machine-readable hazard report (42, 42', 42"): determining that said corresponding hazard category (60, 60', 60") represents the hazard reported in the verbal hazard report ; and when not able to classify said machine-readable hazard report into one of said hazard categories : enabling said machine-readable hazard report to be utilized for training said classification model . receiving a verbal hazard report from said vehicle occupant , said verbal hazard report comprising information related to a hazard associated with the surroundings of said vehicle ; transforming , with support from a speech recognition service, said verbal hazard report into a resulting machine-readable hazard report (42, 42', 42"); providing a data set (5, 5', 5") comprising a plurality of hazard categories (6, 6', 6"); the method being characterized in comprising: applying a classification model associated with said data set , to said machine-readable hazard report , said classification model being adapted to attempt to classify said machine-readable hazard report into a hazard category of the plurality of hazard categories considered corresponding to said machine-readable hazard report ;.and when identifying the hazard category (6, 6', 6") of said data set (5, 5', 5") considered corresponding (60, 60', 60") to said machine-readable hazard report (42, 42', 42"): determining that said corresponding hazard category (60, 60', 60") represents the hazard reported in the verbal hazard report ; and when not able to classify said machine-readable hazard report into one of said hazard categories : enabling said machine-readable hazard report to be utilized for training said classification model . applying a classification model associated with said data set , to said machine-readable hazard report , said classification model being adapted to attempt to classify said machine-readable hazard report into a hazard category of the plurality of hazard categories considered corresponding to said machine-readable hazard report ;.and when identifying the hazard category (6, 6', 6") of said data set (5, 5', 5") considered corresponding (60, 60', 60") to said machine-readable hazard report (42, 42', 42"): determining that said corresponding hazard category (60, 60', 60") represents the hazard reported in the verbal hazard report ; and when not able to classify said machine-readable hazard report into one of said hazard categories : enabling said machine-readable hazard report to be utilized for training said classification model . determining that said corresponding hazard category (60, 60', 60") represents the hazard reported in the verbal hazard report ; and when not able to classify said machine-readable hazard report into one of said hazard categories : enabling said machine-readable hazard report to be utilized for training said classification model . <EOS>