diff --git a/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp b/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
index 802d01875c..d2703cbb65 100644
--- a/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
+++ b/neuralnetworks/1.0/vts/functional/GeneratedTestHarness.cpp
@@ -36,6 +36,7 @@ namespace neuralnetworks {
 namespace generated_tests {
 using ::android::hardware::neuralnetworks::V1_0::implementation::ExecutionCallback;
 using ::android::hardware::neuralnetworks::V1_0::implementation::PreparedModelCallback;
+using ::test_helper::bool8;
 using ::test_helper::compare;
 using ::test_helper::expectMultinomialDistributionWithinTolerance;
 using ::test_helper::filter;
@@ -65,7 +66,8 @@ void copy_back(MixedTyped* dst, const std::vector<RequestArgument>& ra, char* sr
     copy_back_<uint8_t>(dst, ra, src);
     copy_back_<int16_t>(dst, ra, src);
     copy_back_<_Float16>(dst, ra, src);
-    static_assert(5 == std::tuple_size<MixedTyped>::value,
+    copy_back_<bool8>(dst, ra, src);
+    static_assert(6 == std::tuple_size<MixedTyped>::value,
                   "Number of types in MixedTyped changed, but copy_back function wasn't updated");
 }
 
diff --git a/neuralnetworks/1.2/types.hal b/neuralnetworks/1.2/types.hal
index fe9b312c2b..a1a1bad577 100644
--- a/neuralnetworks/1.2/types.hal
+++ b/neuralnetworks/1.2/types.hal
@@ -42,6 +42,13 @@ enum OperandType : @1.0::OperandType {
     TENSOR_QUANT16_SYMM = 7,
     /** A tensor of 16 bit floating point values. */
     TENSOR_FLOAT16 = 8,
+    /**
+     * A tensor of 8 bit boolean values.
+     *
+     * Values of this operand type are either true or false. A zero value
+     * represents false; any other value represents true.
+     */
+    TENSOR_BOOL8 = 9,
 };
 
 /**
@@ -51,7 +58,7 @@ enum OperandType : @1.0::OperandType {
  */
 enum OperandTypeRange : uint32_t {
     OPERAND_FUNDAMENTAL_MIN = 0,
-    OPERAND_FUNDAMENTAL_MAX = 8,
+    OPERAND_FUNDAMENTAL_MAX = 9,
     OPERAND_OEM_MIN     = 10000,
     OPERAND_OEM_MAX     = 10001,
 };