The Mini Tracks at ECIAIR
- Malicious Use of Artificial Intelligence: New Challenges for Democratic Institutions and Political Stability
- Artificial Intelligence for Behaviour Change and Transformation
- Ethics of AI & Robotics
Malicious Use of Artificial Intelligence: New Challenges for Democratic Institutions and Political Stability
ECIAIR22_MT_Malicious_AI1.pdf (119 downloads)
The possibilities for artificial intelligence (AI) are growing at an unprecedented rate. AI has many areas of social utility: from machine translation and medical diagnostics to electronic trading and education. Less investigated are the areas and types of the malicious use of artificial intelligence (MUAI), which should be given further attention. It is impossible to exclude global, disastrous, rapid and latent consequences of MUAI. MUAI implies the possibility of using multiple weaknesses of individual and human civilization as a whole. For instance, AI could integrate with a nuclear or biological attack, and even improve its effectiveness. However, AI could similarly be used as a most efficient defence instrument. The international experience in monitoring online content and predictive analytics indicates the possibility of creating an AI system, based on the information disseminated in the digital environment, that could not only indicate threats to information and psychological security in a timely manner but also offer scenarios of counteraction (including counteracting offensive weapons’ systems).
Suggested topics include but are not limited to:
- Dynamic social and political systems and the malicious use of AI
- AI in civil and military conflicts
- AI enhancing terrorist threats and counter-terrorist response
- Role and practice of the malicious use of AI in contemporary geopolitical confrontation
- Impact of COVID-19 pandemic on MUAI
- Predictive analytics and prognostic weapons
- Risk scenarios of the malicious use of AI
- Spoofing, data extraction, and poisoning of training data to exploit vulnerabilities under the malicious use of AI
- Artificial Intelligence Online Reputation Management (ORM)
- AI in Lethal Autonomous Systems (LAWs):
- Deepfakes and their possible influence on political warfare
- Amplification and political agenda setting
- Emotional AI in political warfare
- Damage reputation through bot activities
- Challenges of the malicious use of AI
- Ways and means to neutralize targeted information and psychological destabilization of democratic institutions using AI.
Artificial Intelligence for Behaviour Change and Transformation
Mini Track Chair: Prof. Agnis Stibe, EM Normandie Business School
ECIAIR22_MT_AI_Behaviour_Change.pdf (162 downloads)
While artificial intelligence can foster fundamental transformations, people are still at the core of achieving profound organizational and societal changes. Why? Because, human factors, such as decision making and behavioral choices, continuously influence and determine the level of success and results for most organizations and societies. Therefore, artificial intelligence should be well prepared to manage and leverage the peculiarities of human psychology.
Artificial intelligence is already helping organizations and institutions to manage increasing loads of exponentially growing data volumes, thus enabling rapid behavioral pattern recognition. That helps to narrow down and locate groups of people with distinct behavioral deviations, which highlights a possibility of having a common attitudinal barrier behind their underperformance. Applications of machine learning, deep learning, neural networks, computer vision, image and speech recognition, robotic process automation, as well as other emerging technologies can help steering human behaviors in more favorable and beneficial directions (Khan et al., 2021).
From the very inception of new data points up to the final human-computer interaction, artificial intelligence can help greatly with supporting and sustaining envisioned behavior changes and transformations. For example, creative technology designs that enable employees observing instant behavioral feedback are fundamental for sustaining any genuine organizational transformation (Stibe, 2020).
Suggested topics include but are not limited to:
- Artificial intelligence applications for human behavior change, organizational transformations, business acceleration, policy making, sustainable development goals, and solving global challenges
- Advancements of artificial intelligence for change management, organizational behavior, digital transformation, leadership, corporate governance, executive decision-making and strategic repositioning
- Project implementations, case studies, perspectives, conceptual developments, tendencies, and philosophical positioning of artificial intelligence towards fostering behavior change
- Artificial intelligence theories, frameworks, methodologies, algorithms, and designs aimed at supporting behavior change and transformation initiatives in organizations and societies
- Potential of blending human and artificial intelligence for driving sustainable changes towards hyper-performance in teams, organizations, communities, and cities
- Ethics of artificial intelligence related to behavior change and transformative technologies, including dark patterns, human bias, social media challenges, and more
Ethics of AI & Robotics
Mini Track Chair: Prof Ali Hessami, City University, London, UK
ECIAIR22_MT_Ethics_AI_Robotics-1.pdf (142 downloads)
With the rapid advancement and application of Autonomous Decision Making and Algorithmic Learning Systems often referred to as AI, the consideration of societal values impacted by such artefacts should be underpinned by guidelines, standards and independent certification to engender trust by all stakeholders. This track covers all aspects of exploration, consultation, articulation of ethical requirements, risk based design, deployment, monitoring and decommissioning for a whole life cycle ethical assurance of AI and robotic systems.
Suggested topics include but are not limited to:
- Value Based/Sensitive Design
- Consideration of Ethics in Autonomous Decision Making
- Facets of Technology/Robotic Ethics
- Independent Verification of Conformity to Ethics
- Emerging AI Ethics Guidelines, Standards and Certification Criteria