Lab

scip Titanium Research

Institution: Independent Researcher

About the lab

Artificial intelligence, car hacking, security of medical devices and the analysis of autonomous weapons. These are just a few topics that are handled by our research departement. In our times they are highly important on a technical and social level.

Our Titanium Team consists of highly trained experts, supporting the security experts of Fortune 500 companies worldwide with complex research and cutting edge-development. To do so, the highest level of technological and economical independency is guaranteed.

Featured projects (6)

Project
Human trust has been examined in psychology for a long time now, however, within the context of Artificial Intelligence there are many more open research questions. The first natural step that comes to mind, is to focus on the capabilities of a product. That is why our research department developed the AIQ, a method to measure competences of conversational AI, to build trust in form of a proof of quality signal. The same intent applies to endeavors of building transparent or explainable AI, who aim to build trust through trustworthiness as feature of the product or image. However, as the market is still in an early stage, this may be too fast, and we are might overestimate cognitive influences on trust and underestimate emotional influences (Lee & See, 2004). Our research is taking a step back and focuses on the less obvious factors that influence trust building in the context of AI, especially from the perspective of the general public. WHAT DOES IT TAKE TO TRUST AI? With this study we want to 1) Explore trust and distrust in general, 2) Analyze the factors, that contribute to the initial formation of trust and distrust in Artificial Intelligence, and 3) Investigate the „no trust, no use“ assumption.
Project
Human and Artificial Intelligence in Context This research is part of the AI & Trust project, which focuses on measuring attitudes and perception on AI from a general public perspective. The A-IQ was developed to measure differences in perceptions vs. actual capabilities of conversational AI, & the influence on user trust. Many researchers and professionals (and also non-professionals, laypersons and computer novices) have undertaken more or less serious projects to measure and compare artificial intelligence, pre-dominantly with digital assistants like for example Siri (as a part of Apple’s operating system) or Google Now (developed by Google). Such tests have various perspectives: between digital assis-tants, trying to answer the question: who is the smartest digital assistant, or between Humans and digital assistants trying to find out, whether the AI can «outsmart» the human. However, these test results must be read with high caution and skepticism. Often there is a massive lack of profound conceptualization or operationali-zation of intelligence. For example, many do not disclose the methodology of their testing proce-dures, which is essential to make a valid judgement as a reader. If you look at scientifically valid human intelligence tests, they are always adapted to spe-cific target groups depending on age, culture, lan-guage or disabilities. Hence, it is obviously non-sensical to just use any valid IQ test (such as the Wechsler Intelligence Scale or the Stanford-Binet Intelligence Scale) for testing artificial intelligence abilities.
Project
Discussing security vulnerabilities and risks of Internet of Thing devices like Smart Homes, Appliances, and Medical Devices.
Project
Following our research about drones and information warfare, our Titanium Research Team will approach the topic of LAWS, in order to contribute to a general understanding in the larger, general society. We want to critically discuss and examine the current state-of-the-art in research and practice, demonstrate and explain practical examples to make it comprehensible for everyone; and further, demystify hypes and sci-fi depictions. We aim to add significance to current research and practice, specifically by combining this topic with our research strengths in cybersecurity, the darknet and AI from a humanities perspective. The end goal in mind, is to raise awareness and create understanding in the public for the greater good.
Project
Identifying, analyzing, and exploiting of security vulnerabilities in electronic systems and computers.

Lab head

Marc Ruef
Department
  • Research Department
About Marc Ruef
  • Marc Ruef is active in cybersecurity since the late 1990s. He is well-known for his many publications and books. The last one called "The Art of Penetration Testing" is discussing security testing in detail. He is a lecturer at several universities, like ETH, HWZ, HSLU, and IKF.

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Alumni (2)

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