diff --git a/R/BenchmarkResult.R b/R/BenchmarkResult.R
index d3abea9bc..1ebd980a0 100644
--- a/R/BenchmarkResult.R
+++ b/R/BenchmarkResult.R
@@ -175,11 +175,7 @@ BenchmarkResult = R6Class("BenchmarkResult",
     #'
     #' @return [data.table::data.table()].
     score = function(measures = NULL, ids = TRUE, conditions = FALSE, predictions = TRUE) {
-      measures = if (is.null(measures)) {
-        default_measures(self$task_type)
-      } else {
-        assert_measures(as_measures(measures))
-      }
+      measures = assert_measures(as_measures(measures, task_type = self$task_type))
       assert_flag(ids)
       assert_flag(conditions)
       assert_flag(predictions)
@@ -234,11 +230,7 @@ BenchmarkResult = R6Class("BenchmarkResult",
     #' @param predict_sets (`character()`)\cr
     #'   The predict sets.
     obs_loss = function(measures = NULL, predict_sets = "test") {
-      measures = if (is.null(measures)) {
-        default_measures(self$task_type)
-      } else {
-        assert_measures(as_measures(measures))
-      }
+      measures = assert_measures(as_measures(measures, task_type = self$task_type))
       map_dtr(self$resample_results$resample_result,
         function(rr) {
           rr$obs_loss(measures, predict_sets)
diff --git a/R/Prediction.R b/R/Prediction.R
index ad7a0c8ce..c2000e5ec 100644
--- a/R/Prediction.R
+++ b/R/Prediction.R
@@ -90,11 +90,7 @@ Prediction = R6Class("Prediction",
     #'
     #' @return [Prediction].
     score = function(measures = NULL, task = NULL, learner = NULL, train_set = NULL) {
-      measures = if (is.null(measures)) {
-        default_measures(self$task_type)
-      } else {
-        assert_measures(as_measures(measures))
-      }
+      measures = assert_measures(as_measures(measures, task_type = self$task_type))
       scores = map_dbl(measures, function(m) m$score(prediction = self, task = task, learner = learner, train_set = train_set))
       set_names(scores, ids(measures))
     },
@@ -109,11 +105,7 @@ Prediction = R6Class("Prediction",
     #' Note that some measures such as RMSE, do have an `$obs_loss`, but they require an
     #' additional transformation after aggregation, in this example taking the square-root.
     obs_loss = function(measures = NULL) {
-      measures = if (is.null(measures)) {
-        default_measures(self$task_type)
-      } else {
-        assert_measures(as_measures(measures))
-      }
+      measures = assert_measures(as_measures(measures, task_type = self$task_type))
       get_obs_loss(as.data.table(self), measures)
     },
 
diff --git a/R/ResampleResult.R b/R/ResampleResult.R
index 895696d54..53da71cdc 100644
--- a/R/ResampleResult.R
+++ b/R/ResampleResult.R
@@ -143,11 +143,7 @@ ResampleResult = R6Class("ResampleResult",
     #'
     #' @return [data.table::data.table()].
     score = function(measures = NULL, ids = TRUE, conditions = FALSE, predictions = TRUE) {
-      measures = if (is.null(measures)) {
-        default_measures(self$task_type)
-      } else {
-        assert_measures(as_measures(measures))
-      }
+      measures = assert_measures(as_measures(measures, task_type = self$task_type))
       assert_flag(ids)
       assert_flag(conditions)
       assert_flag(predictions)
@@ -200,11 +196,7 @@ ResampleResult = R6Class("ResampleResult",
     #' @param predict_sets (`character()`)\cr
     #'   The predict sets.
     obs_loss = function(measures = NULL, predict_sets = "test") {
-      measures = if (is.null(measures)) {
-        default_measures(self$task_type)
-      } else {
-        assert_measures(as_measures(measures))
-      }
+      measures = assert_measures(as_measures(measures, task_type = self$task_type))
       tab = map_dtr(self$predictions(predict_sets), as.data.table, .idcol = "iteration")
       get_obs_loss(tab, measures)
     },
@@ -216,11 +208,7 @@ ResampleResult = R6Class("ResampleResult",
     #'
     #' @return Named `numeric()`.
     aggregate = function(measures = NULL) {
-      measures = if (is.null(measures)) {
-        default_measures(self$task_type)
-      } else {
-        assert_measures(as_measures(measures))
-      }
+      measures = assert_measures(as_measures(measures, task_type = self$task_type))
       resample_result_aggregate(self, measures)
     },
 
diff --git a/R/as_measure.R b/R/as_measure.R
index 97f2798ef..bc63c32ab 100644
--- a/R/as_measure.R
+++ b/R/as_measure.R
@@ -10,7 +10,7 @@
 #'
 #' @return [Measure].
 #' @export
-as_measure = function(x, ...) { # nolint
+as_measure = function(x, task_type = NULL, ...) { # nolint
   UseMethod("as_measure")
 }
 
@@ -23,21 +23,21 @@ as_measure.NULL = function(x, task_type = NULL, ...) { # nolint
 
 #' @export
 #' @rdname as_measure
-as_measure.Measure = function(x, clone = FALSE, ...) { # nolint
+as_measure.Measure = function(x, task_type = NULL, clone = FALSE, ...) { # nolint
   assert_empty_ellipsis(...)
   if (isTRUE(clone)) x$clone() else x
 }
 
 #' @export
 #' @rdname as_measure
-as_measures = function(x, ...) { # nolint
+as_measures = function(x, task_type = NULL, ...) { # nolint
   UseMethod("as_measures")
 }
 
 #' @export
 #' @rdname as_measure
-as_measures.default = function(x, ...) { # nolint
-  list(as_measure(x, ...))
+as_measures.default = function(x, task_type = NULL, ...) { # nolint
+  list(as_measure(x, task_type = task_type, ...))
 }
 
 #' @export
@@ -48,6 +48,6 @@ as_measures.NULL = function(x, task_type = NULL, ...) { # nolint
 
 #' @export
 #' @rdname as_measure
-as_measures.list = function(x, ...) { # nolint
-  lapply(x, as_measure, ...)
+as_measures.list = function(x, task_type = NULL, ...) { # nolint
+  lapply(x, as_measure, task_type = NULL, ...)
 }
diff --git a/man/as_measure.Rd b/man/as_measure.Rd
index 79d52a565..ad17bc4a8 100644
--- a/man/as_measure.Rd
+++ b/man/as_measure.Rd
@@ -10,31 +10,31 @@
 \alias{as_measures.list}
 \title{Convert to a Measure}
 \usage{
-as_measure(x, ...)
+as_measure(x, task_type = NULL, ...)
 
 \method{as_measure}{`NULL`}(x, task_type = NULL, ...)
 
-\method{as_measure}{Measure}(x, clone = FALSE, ...)
+\method{as_measure}{Measure}(x, task_type = NULL, clone = FALSE, ...)
 
-as_measures(x, ...)
+as_measures(x, task_type = NULL, ...)
 
-\method{as_measures}{default}(x, ...)
+\method{as_measures}{default}(x, task_type = NULL, ...)
 
 \method{as_measures}{`NULL`}(x, task_type = NULL, ...)
 
-\method{as_measures}{list}(x, ...)
+\method{as_measures}{list}(x, task_type = NULL, ...)
 }
 \arguments{
 \item{x}{(any)\cr
 Object to convert.}
 
-\item{...}{(any)\cr
-Additional arguments.}
-
 \item{task_type}{(\code{character(1)})\cr
 Used if \code{x} is \code{NULL} to construct a default measure for the respective task type.
 The default measures are stored in \code{\link[=mlr_reflections]{mlr_reflections$default_measures}}.}
 
+\item{...}{(any)\cr
+Additional arguments.}
+
 \item{clone}{(\code{logical(1)})\cr
 If \code{TRUE}, ensures that the returned object is not the same as the input \code{x}.}
 }
diff --git a/man/mlr_learners_classif.featureless.Rd b/man/mlr_learners_classif.featureless.Rd
index cf9724c9a..e701c7369 100644
--- a/man/mlr_learners_classif.featureless.Rd
+++ b/man/mlr_learners_classif.featureless.Rd
@@ -36,7 +36,7 @@ lrn("classif.featureless")
 \itemize{
 \item Task type: \dQuote{classif}
 \item Predict Types: \dQuote{response}, \dQuote{prob}
-\item Feature Types: \dQuote{logical}, \dQuote{integer}, \dQuote{numeric}, \dQuote{character}, \dQuote{factor}, \dQuote{ordered}, \dQuote{POSIXct}
+\item Feature Types: \dQuote{logical}, \dQuote{integer}, \dQuote{numeric}, \dQuote{character}, \dQuote{factor}, \dQuote{ordered}, \dQuote{POSIXct}, \dQuote{Date}
 \item Required Packages: \CRANpkg{mlr3}
 }
 }
diff --git a/man/mlr_learners_regr.featureless.Rd b/man/mlr_learners_regr.featureless.Rd
index 4cd8de85e..64a69f4cb 100644
--- a/man/mlr_learners_regr.featureless.Rd
+++ b/man/mlr_learners_regr.featureless.Rd
@@ -25,7 +25,7 @@ lrn("regr.featureless")
 \itemize{
 \item Task type: \dQuote{regr}
 \item Predict Types: \dQuote{response}, \dQuote{se}, \dQuote{quantiles}
-\item Feature Types: \dQuote{logical}, \dQuote{integer}, \dQuote{numeric}, \dQuote{character}, \dQuote{factor}, \dQuote{ordered}, \dQuote{POSIXct}
+\item Feature Types: \dQuote{logical}, \dQuote{integer}, \dQuote{numeric}, \dQuote{character}, \dQuote{factor}, \dQuote{ordered}, \dQuote{POSIXct}, \dQuote{Date}
 \item Required Packages: \CRANpkg{mlr3}, 'stats'
 }
 }