Name: A Responsible Approach to Regulating Generative Artificial Intelligence
Start: 2023-10-04T14:00:00Z
End: 2023-10-04T14:00:56.000Z
Location: BrightTALK
Rating: 4.5

Responsible Computing helps ensure that your IT organization is a responsible contributor to – and an advocate for – the planet’s sustainable development goals in the key areas of data infrastructure, code and data usage.  

Join us on December 15 for a live webinar that unravels the Gen AI revolution, a game-changer in technological history. While offering unprecedented benefits across various industries, it also raises critical questions about trust, ethics, and the potential for unintended consequences.

Explore the transformative power of Generative Artificial Intelligence and the challenges it presents. We'll delve into the distinction between impressive AI capabilities and true intelligence, addressing concerns related to accuracy, bias, and ethical outputs. The development of Key Performance Indicators (KPIs) will be highlighted, focusing on ensuring the trustworthiness of AI systems.

Navigate the evolving landscape of regulations, industry guidelines, and governmental efforts worldwide. Understand how Gen AI is poised to reshape communication, creative, financial, legal, manufacturing, medical, and science & technology sectors. Concluding with a forward-looking perspective, we'll discuss the impact on the workforce, intellectual property, and the need for a shift in cognitive approaches. Join us for an insightful exploration into the future, balancing the promises and challenges of Generative AI. Reserve your spot now for an engaging discussion on responsibly navigating this revolutionary technological landscape.

Generative AI and Sustainability

Governments, social scientists, technologists, and even the heads of AI organizations are expressing concerns about the potential misuse of the power unleashed by Foundation Models and Generative AI. Many nations and organizations have already started taking steps to regulate this powerful technology to prevent possible misuse and disruption of the societal fabric. Fear and concerns are synonymous with the approach toward nuclear technology worldwide. 

The teams of the Object Management Group (OMG) Responsible Computing Initiative launched a Tiger team to study and evaluate the potential concerns regarding Generative AI Techniques (GAIT) and recommend ways to channel the capabilities of GAIT responsibly to benefit society. 

Specific objectives include investigations on how to:

- Instill trust and reduce bias in the data used to build GAI models.
- Recommend proper and ethical use of AI models whilst protecting the intellectual rights of authors, artists, and other professionals.
- Regulate the proliferation of AI models to ensure no disruptive effects on employment, society, and the environment.
- Educate the consumers, administrators, and governmental bodies on the dangers and limitations of excessive use of AI models.

The different tracks of this initiative are:

• Ensure trustworthy Generative AI Models, which must be based on accurate and unbiased data.
• Impact on the Labor market, especially many white-collar jobs like copywriters, interpreters, and even professionals like investment advisors, editors, lawyers, customer support professionals, creative writers, doctors, etc.
• Issues related to IP, copyright violation, ownership, royalty, etc.
• Impact on the environment with the power-hungry deep learning process to build(train) GAI models.

Michael Linehan (OMG) and Cheranellore Vasudevan (IBM) will present their thoughts as they start their work on this initiative.

Responsible Generative AI

Lucile and Stephane motivate you to see IT differently in this thought-provoking presentation. Starting by introducing responsible computing and green IT, they move on to show what makes a typical web page, what happens with the processing, and why many parts can be removed, saving energy, costs, and improving user retention, which is linked together.

How to Spot the Waste in IT and Web Development

Join us for a tour of the Responsible Computing Self-Assessment. The self-assessment charts a journey and provides recommendations based on responses to achieving sustainable practices in ICT environments for technology vendors and their clients, assessing six domains: Code, Data Center, Data Usage, Impact, Infrastructure, and Systems. 

The self-assessment is available to the public on our website: https://responsiblecomputing.net/responsible-computing-self-assessment/

Our members are working on a maturity model and deeper assessment, which will be available to our member organizations to provide a more profound framework of how to be a responsible computing leader.

Introducing the Responsible Computing Self-Assessment

Dark data, as defined by Gartner, is the information assets organization collect, process, and store during regular business activities and generally fail to use for other purposes, for example, analytics, business relationships, and direct monetization. Organizations often retain dark data for compliance purposes or use it once and then file and forget, which incurs more expenses and risk than value. Dark data that we overlook leads to relevant issues: it takes up tremendous space in data centers, generates greenhouse gas emissions, and in some cases, leads to incorrect conclusions and disastrous decisions and/or actions. 

In this webinar, we will analyze at data's relevant role in business today and the significance of data in digital transformation. The origins of dark data will be explored, and the different types of dark data will be examined through a wealth of real-life examples. The webinar will also address the implications of dark data on the ongoing maintenance, storage, CO2 emissions, and its impact on organizational sustainability goals. Finally, we will conclude with some ideas to support companies in transforming dark data to their advantage, leading to deeper understanding, better decisions, and better actions, ultimately leading to effective digital decarbonization.

Dark Data's Impact on Global Resources

Digital technologies are now embedded in the critical infrastructure for countries, companies, homes, and almost all aspects of human life. 2021 saw technology lose its halo of trust, according to the Edelman Trust Barometer - https://www.edelman.com/trust/2021-trust-barometer/trust-technology. Why is this the case? Should we care? What should we do about this? Responsible Computing is the first industry-wide initiative that addresses leaders' anxieties and restores trust in digital professionals. This talk will help you understand the practical things you can do today to rebuild trust in digital technologies. 

To learn more or get involved, visit: https://responsiblecomputing.net/

Why We Need Responsible Computing Now More Than Ever

This webinar describes responsible computing, what it means, and its areas of concern. It explains what you can do to be more responsible, how to gain access to resources and leaders, and how to join one of the six domains found below.  

Responsible Computing gives you a deeper perspective on your impact and cost savings. Using expensive data recklessly could damage your reputation. Good policies on data retention and version control can efficiently help prepare you for stricter data regulations. Show employees and consumers that you are working towards a sustainable future with measurable progress.  

1. Data Centers are cloud-based and are expensive. If you run one, you want it to be as efficient as possible. If you use one, you don’t want to use an irresponsible supplier.  

2. Code choices are made for various reasons, most of them unconscious. Responsible Computing helps you make responsible choices that save devices’ power, i.e., batteries.  

3. Infrastructure depends on whether you sell it or buy it. If you sell computers or network infrastructure, efficiency is vital. If you use one, you avoid using an irresponsible supplier.  

4. Your computer eats up gigabytes of data that cost money to maintain, even when your computer is “off.” Data can be used unethically by training data sets that might be racially biased or misusing AI. 

5. Systems can also be irresponsible. A system is an integrated set of technologies that provides a service to human beings via various factors. To be responsible, they must consider various outcomes. We want inclusive strategies that address bias & discrimination. This is all the more reason to be aware of responsible systems.  
  
6. Using technology to change the world positively has a responsible impact. We are developing a self-assessment tool to help you measure responsible computing. Register to see how we are working together to achieve meaningful progress.  

Get started: https://responsiblecomputing.net/

Responsible Computing's Impact

With Responsible Computing membership, you can ensure your IT organization is contributing to – and recognized for – the planet’s sustainable development goals. A focus on responsible computing reduces costs and enhances operational efficiencies while addressing the most pressing challenges of our day environmental sustainability, efficient infrastructure, secure coding, and ethical and transparent systems that reflect our diversity.  The Responsible Computing blueprint ties IT decisions to environmental, social and corporate governance (ESG) KPIs to meet sustainability goals that also make your organization more operationally efficient. 

During this webinar, attendees will learn: 
 
● About the genesis of RC and the imperative challenges it addresses
● Ways RC provides pathways in six domains:
○ Responsible Data Center
○ Responsible Infrastructures
○ Responsible Code
○ Responsible Data Usage
○ Responsible Systems
○ Responsible Impact
● Measures to integrate digital transformation efforts into an overall environmental sustainability strategy that transforms business processes into green, intelligent workflows.
● How to engage with Responsible Computing

Your Path to Responsible Computing

In our previous webinar on Responsible Generative Artificial Intelligence, participants voted overwhelmingly in favor of increased regulation surrounding creating and deploying Generative AI systems. 

The European Union has been the first to propose regulation. The UK is looking towards a pro-innovation form of regulation, with the US securing voluntary commitments from leading AI companies. 

Intellectual property is a significant concern, as well as risks to the public, in the areas of bias, privacy, and trustworthiness. 

On October 4, John Easton of IBM will discuss the potential implications of these emerging regulations, intellectual property concerns, and the role of AI ethics. Cheranellore Vasudevan will provide an overview of the upcoming Responsible Generative Artificial Intelligence White Paper.

A Responsible Approach to Regulating Generative Artificial Intelligence

Generative AI

Artificial Intelligence

AI Regulations

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A Responsible Approach to Regulating Generative Artificial Intelligence

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