The Effect of Interpretable Artificial Intelligence on Repeated Managerial Decision-Making under Uncertainty

Business decisions involving investments, healthcare, and supply chains are often made in uncertain environments. At the same time, despite being optimal initially, such choices may seem incorrect in hindsight, which may explain why decision-makers hesitate to use AI algorithms under high uncertainty. While some studies suggest that making AI and ML applications more understandable can boost their adoption and trust, this hasn’t been examined in uncertain conditions where decision-makers must make repetitive business decisions. Our study addresses this issue empirically by analyzing how different interpretability approaches affect AI adoption and trust under varying levels of uncertainty. Surprisingly, we find that providing interpretability does not necessarily increase AI adoption. In some cases, it may even reduce AI adoption. Interestingly, even though AI adoption was higher, trust in the AI recommendations was significantly lower in high uncertainty compared to low uncertainty across all interpretability types. The evidence is clear that showing the cumulative monetary performance of AI to the users as a benchmark, side by side with their own monetary performance, enhances trust in the AI recommendations

On the Feasibility of Integrating mmWave and IEEE 802.11p for V2V Communications

Recently, the millimeter wave (mmWave) band has been investigated as a means to support the foreseen extreme data rate demands of emerging automotive applications, which go beyond the capabilities of existing technologies for vehicular communications. However, this potential is hindered by the severe isotropic path loss and the harsh propagation of high-frequency channels. Moreover, mmWave signals are typically directional, to benefit from beamforming gain, and require frequent realignment of the beams to maintain connectivity. These limitations are particularly challenging when considering vehicle-to-vehicle (V2V) transmissions, because of the highly mobile nature of the vehicular scenarios, and pose new challenges for proper vehicular communication design. In this paper, we conduct simulations to compare the performance of IEEE 802.11p and the mmWave technology to support V2V networking, aiming at providing insights on how both technologies can complement each other to meet the requirements of future automotive services. The results show that mmWave-based strategies support ultra-high transmission speeds, and IEEE 802.11p systems have the ability to guarantee reliable and robust communications.Comment: 7 pages, 5 figures, 2 tables, accepted to the IEEE Connected and Automated Vehicles Symposium (CAVS

Implementation and Performance Evaluation of Distributed Autonomous Multi-Hop Vehicle-to-Vehicle Communications over TV White Space

This paper presents design and experimental evaluation of a distributed autonomous multi-hop vehicle-to-vehicle (V2V) communication system over TV white space performed in Japan. We propose the two-layer control channel model, which consists of the Zone Aware Control Channel (ZACC) and the Swarm Aware Control Channel (SACC), to establish the multi-hop network. Several vehicles construct a swarm using location information shared through ZACC, and share route and channel information, and available white space information through SACC. To evaluate the system we carried out field experiments with swarm made of three vehicles in a convoy. The vehicles observe channel occupancy via energy detection and agree on the control and the data channels autonomously. For coarse synchronization of quiet periods for sensing we use GPS driven oscillators, and introduce a time margin to accommodate for remaining drift. When a primary user is detected in any of the borrowed channels, the vehicles switch to a vacant channel without disrupting the ongoing multi-hop communication. We present the experimental results in terms of the time to establish control channel, channel switching time, delivery ratio of control message exchange, and throughput. As a result, we showed that our implementation can provide efficient and stable multi-hop V2V communication by using dynamic spectrum access (DSA) techniques