Artificially Intelligent Super Computer Machines and Robotics: Apprehensions and Challenges – A Call for Responsible Innovation Framework
This chapter examines the risks, challenges, and dark side of artificial intelligence and robotics within the context of the Fourth Industrial Revolution. It proposes an integrated responsible innovation framework that incorporates anticipation, inclusion, reflexivity, and responsiveness as a science governance mechanism. The study emphasizes that organizations and stakeholders must share collective responsibility and establish ground rules such as trust, transparency, and co-responsibility for sustainable technological innovations.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Policymakers, researchers, and corporate leaders should read this to understand the societal risks of AI and implement responsible innovation frameworks.
What the document contains
The document addresses the apprehensions and challenges associated with AI and robotics in the Industry 4.0 era. It proposes an integrated responsible innovation framework combining specific dimensions and stakeholder helices to ensure sustainable technological development.
The text does not provide binding legislative statutes, empirical testing data of the proposed framework, or specific national regulatory enforcement mechanisms.
- The Fourth Industrial Revolution brings significant risks regarding AI and robotics that require structured governance mechanisms.
- Responsible innovation acts as a deliberative framework combining anticipation, inclusion, reflexivity, and responsiveness.
- The quadruple helix framework involving academia, government, industry, and society is vital for collective stewardship.
- Ground rules such as trust, interaction, transparency, and co-responsibility form the basis of responsible innovation relationships.
- AI developers and firms should adopt internal control mechanisms, stakeholder consent, and contingency measures like self-destruction features to prevent harm.
1. Introduction 2. Artificial intelligence, its limitations, and responsible innovation 3. Proposed theoretical framework 4. Outcomes 5. Implications of responsible innovation for artificial intelligence 6. Conclusion and future research
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Fairness
2/5Non-discrimination and equitable treatment
It is an open secret now that AI machines may have serious impacts on human autonomy, fairness, justice, and agency.
1 Chapter Artificially Intelligent Super Computer Machines and Robotics
screening score · 2026-10-23
Human Dignity
2/5Respect for the inherent worth of persons
It is an open secret now that AI machines may have serious impacts on human autonomy, fairness, justice, and agency.
1 Chapter Artificially Intelligent Super Computer Machines and Robotics
screening score · 2026-10-23
Human Oversight
0/5Humans remain in control of consequential decisions
screening score · 2026-10-23
Privacy
2/5Protection of personal data and private life
Computer and engineering societies, governmental regulations, university experts, civil societies, and ethical organizations jointly can formulate some rules and regulations regarding sharing, storing, transparency, adhering to the privacy laws
5. Implications of responsible innovation for artificial intelligence
screening score · 2026-10-23
Transparency
4/5Openness about how AI systems work and are used
Developing an open culture, sharing important information and expertise, being trustworthy, implementing semi-formal protection techniques, intellectual property management, and taking advantage of first-mover advantages are all examples of “Transparency. ”
4.2.1 Ground rules for responsible innovation relationships
screening score · 2026-10-23
Enforcement
1/5Consequences and compliance mechanisms with real force
However, a legal framework is required to assure the strategy’ s implementation
6. Conclusion and future research
screening score · 2026-10-23
Impact Assessment
4/5Required assessment of an AI system's risks/impacts before or during use
In easy words, it is about identifying, forecasting/foreseeing the potential hazards and harms that may be caused through some technological innovation.
3.2.1 Anticipation
screening score · 2026-10-23