‘2016: The Year That Deep Learning Took Over the Internet | WIRED’ <https://www.wired.com/2016/12/2016-year-deep-learning-took-internet/>
‘Abdul (2018). Trends and Trajectories for Explainable, Accountable and Intelligible Systems’ <http://jovermeulen.com/uploads/Research/AbdulVermeulenWangLimKankanhalli_chi2018.pdf>
‘Adadi. (2018). Peeking inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI).’ <https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8466590>
‘Al-Halah. (2017). Fashion Forward: Forecasting Visual Style in Fashion. .’ <http://openaccess.thecvf.com/content_ICCV_2017/papers/Al-Halah_Fashion_Forward_Forecasting_ICCV_2017_paper.pdf>
‘An Overview of Search Techniques in Multi-Player Games’ <https://dke.maastrichtuniversity.nl/m.winands/documents/Multi_Overview.pdf>
‘BBC - iWonder - AI: 15 Key Moments in the Story of Artificial Intelligence’ <http://www.bbc.co.uk/timelines/zq376fr>
‘Biran, (2017). Explanation and Justification in Machine Learning: A Survey.’ <http://www.intelligentrobots.org/files/IJCAI2017/IJCAI-17_XAI_WS_Proceedings.pdf#page=8>
Gavalas D and others, ‘A Personalized Multimodal Tourist Tour Planner’, Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia - MUM ’14 (ACM Press 2014) <http://dl.acm.org/citation.cfm?doid=2677972.2677977>
Greenwald HS and Oertel CK, ‘Greenwald Future Directions in Machine Learning’ (2017) 3 Frontiers in Robotics and AI
‘Hassabis, Neuroscience-Inspired Artificial Intelligence |’ <https://reader.elsevier.com/reader/sd/pii/S0896627317305093?token=734014193389F6E5E828943DE1B6CF5110BB4FD90488DFFCE3BD8C60C95535B809484DECFDF1615A10BE1ED115D2EBEB>
‘Human Swarming, a Real-Time Method for Parallel Distributed Intelligence’ <http://unanimous.ai/wp-content/uploads/2015/10/Human-Swarming-IEEE-SHBI-2015.pdf>
‘Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article] - IEEE Journals & Magazine’ <https://ieeexplore.ieee.org/document/6786458>
‘Kato, N. et al. (2018). DeepWear: A Case Study of Collaborative Design between Human and Artificial Intelligence.’ <http://delivery.acm.org/10.1145/3180000/3173302/p529-kato.pdf?ip=128.16.28.25&id=3173302&acc=ACTIVE+SERVICE&key=BF07A2EE685417C5.D93309013A15C57B.4D4702B0C3E38B35.4D4702B0C3E38B35&__acm__=1554729727_1f11564cf649f4da6a8f92db4a8183fe>
‘——’ <http://delivery.acm.org/10.1145/3180000/3173302/p529-kato.pdf?ip=128.16.28.25&id=3173302&acc=ACTIVE%20SERVICE&key=BF07A2EE685417C5%2ED93309013A15C57B%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1554729727_1f11564cf649f4da6a8f92db4a8183fe>
‘Kato, N. et al. (2018). DeepWear: A Case Study of Collaborative Design between Human and Artificial Intelligence. In: Proceedings of the Twelfth International Conference on Tangible, Embedded, and Embodied Interaction (TEI 2018), 529-536.’ <http://delivery.acm.org/10.1145/3180000/3173302/p529-kato.pdf?ip=128.16.28.25&id=3173302&acc=ACTIVE%20SERVICE&key=BF07A2EE685417C5%2ED93309013A15C57B%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1554730062_4ca06d2d47af435009aeb5d1d5d0fca0>
‘Levinson (2011). Towards Fully Autonomous Driving: Systems and Algorithms.’ <https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5940562>
Ngai EWT and others, ‘Ngai, Decision Support and Intelligent Systems in the Textile and Apparel Supply Chain’ (2014) 41 Expert Systems with Applications 81
‘Ros (2012, June). Visual Slam for Driverless Cars’ <http://www.cvc.uab.es/~asappa/publications/C__IEEE_IV_2012_W3.pdf>
‘Russell& Norvig Chap 2 Intelligent Agents’ <https://moodle.ucl.ac.uk/pluginfile.php/319771/mod_resource/content/3/RN%20ch2%20IntelligentAgents.pdf>
‘The Joy of AI’ <https://learningonscreen.ac.uk/ondemand/index.php/prog/11F0563D?bcast=127427044>
‘Waldrop (2015). No Drivers Required.’ <http://www.umc.edu.dz/images/518020a.pdf>
Wang H, De Haan J and Rasheed K, ‘Style-Me – An Experimental AI Fashion Stylist’ in Hamido Fujita and others (eds), Trends in Applied Knowledge-Based Systems and Data Science, vol 9799 (Springer International Publishing 2016) <http://link.springer.com/10.1007/978-3-319-42007-3_48>
