- Webinar 10: Silent Speech Interfaces & Human-Computer Interface (HCI) / Machine Learning (ML) aspects. (Apr. 28., 2022)
Silent Speech Interfaces (SSI) is a revolutionary field in speech technologies. The main idea is to record the articulatory movement and automatically generate speech from movement information, while the original subject is producing no sound. This research area, also known as articulatory-to-acoustic mapping (AAM) has a large potential impact in a number of domains. Speaker: Dr. Tamás Gábor Csapó, BME, HU
- Webinar 9: Security and Privacy in Machine Learning (Apr. 14, 2022)
A biztonság és az adatvédelem nélkülözhetetlen szerepet játszik a bizalom kiépítésében minden információs rendszerben, és ez alól a mesterséges intelligencia sem kivétel. Ha egy gépi tanulási modell nem biztonságos vagy magánjellegű/bizalmas információkat szivárogtat ki, a vállalatok vonakodni fognak használni, ami végső soron akadályozza a mesterséges intelligencia és az emberiség fejlődését. Előadó: dr. Ács Gergely, BME, HU
- Webinar 4: Trustworthy AI: Machines Making Decisions About Our Lives. How Far Should We Let Them? (Dec. 9, 2021)
How far should we let machines go in making decisions about our lives? Speakers: dr. Damian Gordon, dr. Emma Murphy, Dublin, IE
- Webinar 3: Trustworthy AI: provability, accountability, understandability, and their role in ethics guidelines (Nov. 25, 2021)
We strive for maintaining trust and intellectual control over the machines we create. But given their growing complexity and deep embedding in human society, is this realistic? Speakers: dr. Péter Antal, dr. Mihály Héder, Budapest, HU
- Webinar 2: Ethics and Technology – Can It Work? (Oct. 21, 2021)
AI is a broad, multi-disciplinary field of study, encompassing engineering, mathematics, computer science, and now – societal awareness. Can ethics and information technology, especially in the context of the emergence of AI, work in harmony with each other? Speakers: Prof. Carlo Sansone, Prof. Guglielmo Tamburrini, Naples, IT.
- Webinar 1: Make AI Trustworthy (Oct. 7, 2021)
Trustworthy artificial intelligence (AI), human debt of AI, technologically superior yet responsible AI. Speaker: dr. Stefan Leijnen, Utrecht, NL.