diff --git a/neuralnetworks/1.0/IExecutionCallback.hal b/neuralnetworks/1.0/IExecutionCallback.hal
new file mode 100644
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+++ b/neuralnetworks/1.0/IExecutionCallback.hal
@@ -0,0 +1,44 @@
+/*
+ * Copyright (C) 2017 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package android.hardware.neuralnetworks@1.0;
+
+/**
+ * IExecutionCallback must be used to return the error status result from an
+ * execution asynchronously launched from IPreparedModel::execute.
+ */
+interface IExecutionCallback {
+
+    /**
+     * notify must be invoked immediately after the asynchronous task has
+     * finished performing the execution. notify must be provided with the
+     * ErrorStatus resulting from the execution. If the asynchronous task
+     * is not launched, notify must be invoked with the appropriate error.
+     *
+     * @return param Error status returned from launching the asynchronous task
+     *               (if the launch fails) or from the asynchronous task itself
+     *               (if the launch succeeds). Must be:
+     *               - NONE if the asynchronous execution was successful
+     *               - DEVICE_UNAVAILABLE if driver is offline or busy
+     *               - GENERAL_FAILURE if the asynchronous task resulted in an
+     *                 unspecified error
+     *               - OUTPUT_INSUFFICIENT_SIZE if provided output buffer is
+     *                 not large enough to store the resultant values
+     *               - INVALID_ARGUMENT if one of the input arguments to
+     *                 prepareModel is invalid
+     */
+    oneway notify(ErrorStatus status);
+};