#HumanInTheLoop

[cpapartners]

AI in accounting: Who are the humans in the loop?

Accounting firms and vendors alike have stressed the importance of having a "human in the loop" to oversee AI. Just who are these humans and what do they do?

[likitakans]

The Future of Work: Human-Centered Automation

In a world where technology evolves at lightning speed, the future of work stands at the intersection of human ingenuity and technological innovation. Automation, once feared for its potential to replace jobs, is now transforming industries, reshaping roles, and redefining what it means to work in the 21st century. 🌐💼

Embracing Change: Redefining Roles

As automation and artificial intelligence (AI) advance, routine tasks are increasingly being handled by machines, allowing humans to focus on more complex, creative, and strategic endeavors. This shift isn't about replacing humans; it's about augmenting human potential. Imagine a workplace where repetitive tasks are streamlined, allowing employees to channel their energy into problem-solving, innovation, and customer engagement. 🤖➡️🧠

The Rise of Collaborative Robots: Cobots

Enter collaborative robots, or cobots, designed to work alongside humans in a seamless partnership. These intelligent machines enhance productivity and safety in manufacturing, logistics, and beyond, while empowering workers with new skills and responsibilities. Cobots embody the synergy between human intuition and robotic precision, creating environments where efficiency meets creativity. 👥🤖

Skills for Tomorrow: Adaptability and Resilience

In this era of rapid technological advancement, adaptability is key. The jobs of tomorrow demand a workforce that embraces lifelong learning, upskilling, and reskilling to stay ahead of the curve. As automation takes on repetitive tasks, human skills such as critical thinking, emotional intelligence, and problem-solving become invaluable assets. The future workforce isn't just technically proficient—it's agile, resilient, and ready to navigate a dynamic landscape. 🌟📚

Beyond Efficiency: Human-Centric Innovation

Automation isn't solely about efficiency; it's about unlocking new realms of innovation. From AI-driven insights that revolutionize customer experiences to data analytics that predict market trends, technology empowers businesses to innovate faster and more effectively than ever before. Human creativity remains at the heart of these advancements, driving groundbreaking solutions that shape industries and improve lives. 🚀💡

Ethical Considerations: Balancing Progress and Responsibility

As we embrace automation, ethical considerations loom large. Ensuring fair practices, protecting data privacy, and addressing the socioeconomic impacts of job displacement are crucial. Companies and policymakers must collaborate to create a future where automation enhances human well-being, fosters inclusive growth, and promotes equitable opportunities for all. 🌍🤝

Looking Ahead: A Collaborative Future

The future of work is not a tale of man versus machine but a narrative of collaboration and coexistence. By harnessing the transformative power of automation while nurturing human potential, we pave the way for a future where innovation thrives, jobs evolve, and prosperity is shared. Together, we embark on a journey towards a human-centered workplace where technology enhances our capabilities and enriches our collective experience. 🌐💡

Join us in exploring the exciting frontier of human-centered automation and envisioning a future where technology empowers us to achieve more than ever before. Together, we shape the future of work—one innovation at a time.

This blog captures the transformative potential of automation while emphasizing the crucial role of human skills, adaptability, and ethical considerations in shaping the future of work.

[roadmaperp-software]

HITL is a mechanism that leverages human interaction to train, fine-tune, or test specific systems such as AI models or machines to get the most accurate results possible.

In general, HITL provides following contributions to AI models👩‍💻:

Data labelling: People contribute to machine learning's understanding of the world by accurately labelling data.

Feedback: With a specific confidence interval, machine learning models forecast cases. Data scientists give feedback to the machine learning model to enhance its performance when the model's confidence falls below a predetermined level.

[nextwealth-company]

Do We Need Millions of People to build AI? 

For AI and ML models to give accurate results, training data is very important as it is the foundation on which any machine learning model is built. Although we require hundreds, thousands, or millions of data points for building efficient machine learning models, we wouldn’t need more than a few hundred or less people to develop AI to suit each requirement.

[paperswanted]

Special Issue on: "Quantifying Human Factors: Towards Analytical Human-in-the-Loop"

Special Issue on: “Quantifying Human Factors: Towards Analytical Human-in-the-Loop”

For authors > Calls for papers > Special issue

Int. J. of Human Factors Modelling and Simulation

Special Issue on: “Quantifying Human Factors: Towards Analytical Human-in-the-Loop”

Guest Editor: Prof. Ephraim Suhir, Portland State University, USA

Improvements in safety in the air and in space can be achieved through better ergonomics, better work environments, and other efforts of the traditional…

[surveycircle]

Tweeted

Teilnehmer für Online-Studie gesucht! Thema: "Kooperation von Mensch und KI in Entscheidungssituationen" https://t.co/vpjxl6edqU via @SurveyCircle #entscheidung #HumanInTheLoop #AugmentedDecisionMaking #questionstar #umfrage #surveycircle https://t.co/UEcTxvixsD

— Daily Research @SurveyCircle (@daily_research) Aug 30, 2022

[jcurtisid]

RT insurtechforum "RT ithrynluin1: ✝️🍁🇺🇸❌keving27 insurtechforum #HumanInTheLoop #technology #Robots #Science #History #IndustrialDesign Tis a universal progression on down from 'The Almighty'. God creates, people sub-create, #AI #Machines duplicate.#Design #universe …

— Colin Bristow (@BristowColin) March 11, 2019

March 11, 2019 at 10:49PM

[nextwealth-company]

Data preperation Service - NextWealth | Data collected from public sources are typically in unstructured format needing cleansing, consolidation, normalization and validation, before they are ready for business use. For an eCommerce platform, maintaining a clean and reliable data is fundamental to improved sales and customer retention.

[nextwealth-company]

Data Digitization Service- NextWealthIndia | Need for capturing data from printed and handwritten document continues to be a need. We use state of the art OCR and ICR tools along with Machine learning algorithms to capture data in forms automatically and use human touch to validate the conversion.

[nextwealth-company]

Why is Training Data important while building Machine Learning Models | Human efforts to make machines intelligent by teaching them to find answers to complex problems without being explicitly programmed or spoon fed for every single query, required accurate training data. 

[jcurtisid]

✝️🍁🇺🇸❌@keving27 @insurtechforum #HumanInTheLoop #technology #Robots #Science #History #IndustrialDesign Tis a universal progression on down from 'The Almighty'. God creates, people sub-create, #AI #Machines duplicate.#Design #universe #Truth pic.twitter.com/Qg9DxlW89Y

— ANDREW (@ithrynluin1) March 11, 2019

March 11, 2019 at 08:53PM

[jcurtisid]

✝️🍁🇺🇸❌@keving27 @insurtechforum #HumanInTheLoop #technology #Robots #Science #History #IndustrialDesign Tis a universal progression on down from 'The Almighty'. God creates, people sub-create, #AI #Machines duplicate.#Design #universe #Truth pic.twitter.com/Qg9DxlW89Y

— ANDREW (@ithrynluin1) March 11, 2019

March 11, 2019 at 08:22PM

[jcurtisid]

✝️🍁🇺🇸❌@keving27 @insurtechforum #HumanInTheLoop #technology #Robots #Science #History #IndustrialDesign Tis a universal progression on down from 'The Almighty'. God creates, people sub-create, #AI #Machines duplicate.#Design #universe #Truth https://t.co/sYb83zMfpH

— ANDREW (@ithrynluin1) March 11, 2019

March 11, 2019 at 08:22PM