We may earn an affiliate commission when you visit our partners.
Course image
Course image
Coursera logo

Digital Strategies

Managing Sociotechnological Co-Evolution

Martin Hilbert

Unravel the mysteries behind the accelerating pace of technological change, exploring mathematical principles and historical precedents behind AI and large learning models (LLM). Gain insights into the dichotomy of continuous innovation versus disruptive breakthroughs, and evaluate their profound impact on industries and economies worldwide. Investigate the societal implications of technological diffusion, analyzing inequalities and proposing viable policy solutions. Navigate the complex terrain of ethical considerations in technological advancement, addressing issues of bias, inclusivity, and AI alignment. Delve into the ethical frameworks guiding innovation, while contemplating the future of human-machine collaboration and the ethical imperatives therein.

Enroll now

What's inside

Syllabus

Getting Started and Defining Technology
After this module, you will be able to review how the social construction of technology requires proactive change management and be able to define what technology is and learn how this organismic system evolves. You'll be able to analyze the historical evolution of technology and its impact on society from the Stone Age to the digital age and develop a working definition of technology that allows you to understand its different aspects and roles in society. You'll also be able to discover why ‘things are getting faster and faster’, by exploring the mathematical logic behind the unavoidable accelerating nature of technological change.
Read more
Evolution of Technology
After this module, you will be able to analyze the nature of technological evolution, identifying key patterns and contours in its progression. You will be able to differentiate between continuous and disruptive innovation, recognizing their impact on the technological landscape, as well as evaluate the impact of disruptive innovations using examples from various industries. You'll be able to review the implications of Moore's Law on computational technology as an example of continuous innovation and recognize how exponential technological progress can help us to navigate an uncertain future even if we cannot make specific predictions about what will be. You'll also be able to speculate about the technological singularity, the moment when progress will become too fast for human understanding and be able to explore what past technological revolutions taught us about the question if machines will replace us and envision what the future might hold.
Evolution of Social Systems
After this module, you will be able to proactively manage digital change and analyze the co-evolution of technology and society, exploring their reciprocal influence over time. You will be able to evaluate the impact of technological diffusion on social systems and propose policy solutions to address resulting inequalities. You'll be able to examine the interdependent relationship between human society and technological advancements, as well as explore the emergent construction of human progress through the infinite number of evolving waves building on top of each other, from product cycles on the micro-level, to technological revolutions on the macro-level. You'll be able to assess the theories of economists like Kondratiev and Schumpeter on long waves of societal development and technological innovation and be able to identify and discuss the crucial role of financial bubbles and governmental regulation in the adoption of technological revolutions in the economy.
Diffusion of Technology
After this module, you will be able to examine why and how every technological innovation inevitably creates a new kind of inequality in society and discover Rogers model on the diffusion of innovations and about the importance of being an early adopter. You'll be able to compare and contrast the trade-off between progress and diffusion, considering standardization and societal adoption challenges, as well as analyze how innovations spread through social networks, and explain how social network structure influences innovation diffusion, including the role of connectivity and influencers. You'll be able to analyze social interventions and regulations shaping innovation diffusion, like vaccination campaigns and financial regulations and explain the digital divide's concept and inevitability within social network diffusion. You will be able to analyze the multidimensional aspects of the digital divide and develop strategies to address it and evaluate technological progress's impact on the digital divide, considering access and utilization efficiency.
Artificial Intelligence (AI), Ethics, & Policies
After this module, you will be able to discuss the crucial importance of social guidance in the social construction of any technology and manage technological change in companies and government. You will be able to analyze socio-technological constructs and policies from public and private sectors, as well as examine the AI alignment problem, its definition, challenges, and its importance for human development. You'll be able to recognize traditional ethical frameworks' role in AI alignment, addressing biases and promoting inclusivity and evaluate ethical implications of unintended consequences in AI alignment. You'll be able to recognize the necessity of defining clear objectives for AI systems to mitigate risks and be able to analyze the interplay between cultural values and AI development for addressing diverse ethical perspectives.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores recent and ongoing technological advancements' societal and economic impacts
Examines the influence of exponential technological progress on industry and society
Develops critical thinking skills through the analysis of real-world case studies
Taught by Martin Hilbert, a leading expert in the field of technology and society
Provides a comprehensive overview of the evolution and impact of technology
Requires students to have a basic understanding of mathematics and technology

Save this course

Save Digital Strategies: Managing Sociotechnological Co-Evolution to your list so you can find it easily later:
Save

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Digital Strategies: Managing Sociotechnological Co-Evolution with these activities:
Read 'The Master Algorithm' by Pedro Domingos
Gain insights into the fundamental concepts and challenges of AI by exploring a seminal text in the field.
Show steps
  • Read the book thoroughly, taking notes and highlighting key passages
  • Summarize the main arguments and implications of the book in a written report
Create a Comprehensive Course Resource Binder
Organize and consolidate course materials for effective reference throughout your learning journey.
Show steps
  • Gather all course materials, including lecture notes, assignments, quizzes, and exams
  • Organize materials into logical sections or categories
Review Historical Context of Technological Evolution
Brush up on the historical development of technology to provide context for the course material.
Browse courses on History of Technology
Show steps
  • Read chapters 1-3 of 'The Innovators' by Walter Isaacson
  • Watch the documentary 'The Silicon Valley Story'
  • Create a timeline of major technological advancements
Six other activities
Expand to see all activities and additional details
Show all nine activities
Practice Identifying Continuous and Disruptive Innovations
Engage in exercises to sharpen your ability to distinguish between continuous and disruptive innovations.
Browse courses on Disruptive Innovation
Show steps
  • Analyze case studies of different innovations, categorizing them as continuous or disruptive
  • Participate in online quizzes or games testing your understanding of innovation types
Join a Study Group on Ethical Implications of AI
Engage with peers to discuss and debate the ethical considerations surrounding AI.
Browse courses on Ethics of AI
Show steps
  • Find a study group or create your own with classmates or online
  • Facilitate discussions on topics such as AI bias, privacy concerns, and job displacement
Explore Online Tutorials on AI Alignment
Enhance your understanding of AI alignment through structured online tutorials.
Browse courses on Responsible AI
Show steps
  • Identify reputable online platforms offering tutorials on AI alignment
  • Complete interactive exercises and simulations to practice AI alignment principles
Develop an Infographic on the Digital Divide
Create a visual representation to illustrate the causes and consequences of the digital divide.
Browse courses on Digital Divide
Show steps
  • Research data on digital access, usage, and impact
  • Design and develop an infographic using a tool like Canva or Piktochart
  • Share your infographic on social media or a personal blog
Volunteer at a Technology Outreach Organization
Gain practical experience in addressing technological inequalities by volunteering.
Browse courses on Community Engagement
Show steps
  • Research local organizations working to bridge the digital divide
  • Offer your skills in areas such as digital literacy training or technology maintenance
Contribute to an Open-Source AI Project
Deepen your understanding of AI by contributing to open-source projects.
Browse courses on AI Development
Show steps
  • Identify open-source AI projects on platforms like GitHub or GitLab
  • Review project documentation and identify areas where you can contribute

Career center

Learners who complete Digital Strategies: Managing Sociotechnological Co-Evolution will develop knowledge and skills that may be useful to these careers:

Reading list

We haven't picked any books for this reading list yet.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Digital Strategies: Managing Sociotechnological Co-Evolution.
Digital Thinking: Frameworks For Our Digital Reality
Voice of Change: Communicate with Teams for GenAI Adoption
Ethics in AI Design
Fundamental Rights Impact Assessment for GenAI Projects
Responsible AI - Principles and Ethical Considerations
The Data Sessions: ChatGPT Roundtable Discussion with...
Generative AI Applications and Popular Tools
Creativity, Innovation and Transformation
Data Ethics, AI and Responsible Innovation
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser