The World-Wide-Web AI-Safari
AI aims to mimic & automatise tasks which otherwise require human perception, cognition and/or motor skills — e.g. pattern recognition, learning, logical reasoning & planning, decision making, problem solving, designing, creativity, likelihood estimation, language acquisition, multi-sensory interfacing, actuated body movement control, locomotion & manipulation, sentiment analysis, and generalisation (see refs [1]…[3]).
Next-Gen AI Capabilities: IoT + Cybernetics
The inescapable resurgence of AI on the world wide web (WWW) — along with the Internet-Of-Things (IoT) — has expanded the scope of the digital world into the realm of cybernetics:
AI accommodates & exploits “complex” human behaviour by means of automatised regulatory systems that are mechanical, biological, physical and/or cognitive in nature (see ref [1]).
The cybernetic foundation of contemporary AI’s explains its insatiable hunger for data, with the promise to solve societal challenges ranging from health, climate change, data privacy, safety, up to robotics and driverless cars. Yet, we only appear to receive ambiguous promises and paradoxical stories. AI has revealed itself as a double-edged sward: dangerous yet supportive; all-consuming yet liberating (see refs [3] …[8]).
Learning about AI by DIY
For better or worse, AI is ubiquitous and will not disappear any time soon. Most importantly, it forces us to learn throughout our entire lifespan. The below presented www AI-Safari will help you obtain hands-on insight into the realm of the next-gen AI as to get the gest of its new found capabilities (see refs [2],[7]).
Please go through the interactive AI-demonstrations — as outlined below — to get acquainted with the notion of what is considered mainstream AI. It is solely intended to — learn by doing it yourself (DIY) — as to get some general notion what all the fuss is about with buzz words like Machine learning, Neural Nets, Deep learning, Deep Fakes Computer Vision, Natural Language Processing, Facial Recognition and what have you…..! To fully enjoy the demos interactively, I recommend using the BRAVE browser.
Can AI transcribe Speech to Text?
Can AI understand Natural Language?
Can AI Co-create Music?
Can AI Make Sense of Webcam Images?
Can AI Translate Convincingly in Real-Time?
Can AI Learn to Estimate Human Poses in Real Time?
Can AI Learn to Estimate Age?
Can AI learn to Recognise Doodling?
Can AI learn to Co-Create Drawings?
Can AI learn to Create Novel Sounds?
Can AI learn to Paint from a Picture?
Can AI Learn to Recognise Handwritten Numbers?
Can AI Learn to Create Novel Font Types?
Can AI learn to Infer Sentiment From Text Messages?
Can AI Learn to Act as a Moral Being?
Can AI learn to Think for itself?
Can AI Learn to Infer Real World Features form Images?
Can AI Learn to Talk to Books?
Can AI Learn to Associate?
Can AI Learn to Interpret & Annotate Video Materials?
Can AI Explain itself?
REFs: Researched Materials & Documents
[1]. Frankish, K., & Ramsey, W. M. (Eds.). (2014). The Cambridge Handbook of Artificial Intelligence. Cambridge: Cambridge University Press. Retrieved from: https://doi.org/10.1017/CBO9781139046855.
[2]. Bartneck C., Lütge C., Wagner A., & S., W. (2021). What Is AI? In An Introduction to Ethics in Robotics and AI. Cham: Springer Nature. Retrieved from: https://doi.org/10.1007/978-3-030-51110-4_1.
[3]. Lasry, B., Kobayashi, H., & (2018). Human Decisions: Thoughts on AI. Paris: Netexplo, United Nations Educational Scientific and Cultural Organization, Unesco Publishing Retrieved from http://unesdoc.unesco.org/images/0026/002615/261563e.pdf
[4]. Perrault, R., Shoham, Y., Brynjolfsson, E., Clark, J., Etchemendy, J., Grosz, B., . . . Niebles, S. M. J. C. (2019). The AI Index 2019 Annual Report. AI Index Steering Committee. Stanford, CA: Human-Centered AI Institute (HAI), Standford University Retrieved from https://hai.stanford.edu/sites/default/files/ai_index_2019_report.pdf
[5]. Samoili, S., Cobo, M. L., Gomez, E., De Prato, G., Martinez-Plumed, F., & Delipetrev, B. (2020). AI Watch. Defining Artificial Intelligence. Towards an operational definition and taxonomy of artificial intelligence. Sevilla: Joint Research Centre (JRC), EU Science Hub Retrieved from http://publications.jrc.ec.europa.eu/repository/bitstream/JRC118163/jrc118163_ai_watch._defining_artificial_intelligence_1.pdf
[6]. Rosen, C. (August 19, 2020). The Cult of Human Simulation: A new book on the history of “people analytics”. [BLOG: Artificial Intelligence: The Technonationalism Issue, MIT Technology Review]. Retrieved from https://www.technologyreview.com/2020/08/19/1006365/if-then-lepore-review-simulmatics/
[7]. Niemöller, Jörg, & Mokrushin, L. (June 28, 2018). CognitiveTechnologies in network and business automation. Ericsson Technology Review. Retrieved from https://www.ericsson.com/48f8b8/assets/local/reports-papers/ericsson-technology-review/docs/2018/etr_2018-06_semanticmodels.pdf
[8]. Hernández-Orallo, J. (2017). The Measure of All Minds Evaluating Natural and Artificial Intelligence. Cambridge:: Cambridge University Press. Retrieved from: https://doi.org/10.1017/9781316594179
