Artificial Intelligence (AI)
Role of Individuals
AI Development and Research
Ethical Consideration
AI Education and Training
User Feedback and Engagement
Policy Advocacy and Regulation
AI Governance and Oversight
AI for Social Good
Ethical Questions in Artificial Intelligence (AI)
Bias and Fairness
Transparency and Accountability
Privacy and Data Protection
Autonomy and Human Agency
Safety and Risk Management
Accountability and Legal Liability
Equity and Social Justice
Human-centric Design and Value Alignment
Explainability and Interpretability
Global Governance and International Cooperation
Artificial Intelligence (AI)
Ethics
Transparency
Explainnability
Privacy and Data Protection
Accountability and Responsibility
Robustness and Safety
Collaboration and Interdisciplinary Approaches
Bias Mitigation and Diversity
Global Standards and Regulation
Ethical AI Funding: Responsible Investments for a Smarter FutureAI Architects
Invest in a smarter future with ethical AI funding. Discover responsible investments that support the development and implementation of artificial intelligence technologies while prioritizing ethics and accountability. Make a positive impact and drive innovation with your investment choices. Explore ethical AI funding opportunities today.
Artificial Intelligence
AI
Future Technology
Ethical Consideration
Bias and Discrimination
Transparency and Explainability
Data Privacy and Security
Human Machine Collaboration
Regulatory and Legal Challenges
AI Safety and Security
Global Governance and Cooperation
Artificial Learning
AI
Human Learning
Behavior Prediction and Influence
Personalization and user profiling
Social Influence and Conformity
Identity Construction and Representation
Cultural and Societal Norms
Ethical and Philosophical Implications
Human-AI Interaction Dynamics
Discover why nurturing AI in its early stages is crucial for its development. Uncover the secrets to unlocking its potential.
The Need To Nurture AI In Its Infancy
Artificial Intelligence (AI) is a rapidly evolving field with immense potential to transform various industries and revolutionize the way we live and work. As we witness the early stages of AI development, it becomes crucial to recognize the need to nurture this technology in its infancy. Investing in AI research and development is essential to unlock its full potential and reap the benefits it offers. By enhancing AI capabilities through training and data, we can ensure its effectiveness in solving complex problems and making informed decisions. However, alongside these advancements, it is equally important to address the ethical considerations surrounding AI development. Collaborative efforts among researchers, policymakers, and industry leaders are necessary to overcome challenges and shape AI technologies responsibly. By nurturing AI in its infancy, we can pave the way for a future where AI improves our lives while upholding ethical standards and human values.
http://Parenting-an-AI.com
Ethical Questions in Artificial Intelligence (AI)
Bias and Fairness
Transparency and Accountability
Privacy and Data Protection
Autonomy and Human Agency
Safety and Risk Management
Accountability and Legal Liability
Equity and Social Justice
Human-centric Design and Value Alignment
Explainability and Interpretability
Global Governance and International Cooperation
Artificial Intelligence (AI)
Ethics
Transparency
Explainnability
Privacy and Data Protection
Accountability and Responsibility
Robustness and Safety
Collaboration and Interdisciplinary Approaches
Bias Mitigation and Diversity
Global Standards and Regulation
Ethical AI Funding: Responsible Investments for a Smarter FutureAI Architects
Invest in a smarter future with ethical AI funding. Discover responsible investments that support the development and implementation of artificial intelligence technologies while prioritizing ethics and accountability. Make a positive impact and drive innovation with your investment choices. Explore ethical AI funding opportunities today.
Artificial Intelligence
AI
Future Technology
Ethical Consideration
Bias and Discrimination
Transparency and Explainability
Data Privacy and Security
Human Machine Collaboration
Regulatory and Legal Challenges
AI Safety and Security
Global Governance and Cooperation
Artificial Learning
AI
Human Learning
Behavior Prediction and Influence
Personalization and user profiling
Social Influence and Conformity
Identity Construction and Representation
Cultural and Societal Norms
Ethical and Philosophical Implications
Human-AI Interaction Dynamics
Discover why nurturing AI in its early stages is crucial for its development. Uncover the secrets to unlocking its potential.
The Need To Nurture AI In Its Infancy
Artificial Intelligence (AI) is a rapidly evolving field with immense potential to transform various industries and revolutionize the way we live and work. As we witness the early stages of AI development, it becomes crucial to recognize the need to nurture this technology in its infancy. Investing in AI research and development is essential to unlock its full potential and reap the benefits it offers. By enhancing AI capabilities through training and data, we can ensure its effectiveness in solving complex problems and making informed decisions. However, alongside these advancements, it is equally important to address the ethical considerations surrounding AI development. Collaborative efforts among researchers, policymakers, and industry leaders are necessary to overcome challenges and shape AI technologies responsibly. By nurturing AI in its infancy, we can pave the way for a future where AI improves our lives while upholding ethical standards and human values.
http://Parenting-an-AI.com
Artificial Intelligence (AI)
Future Society
Automation
Displacement
Productivity
Economic Growth
Income Inequality
Distributional Impacts
Skills
Workforce Development
Ethical and Societal Implications
Skill Development
workforce Transformation
Healthcare and well-being
Education
Lifelong learning
Governance
Decision Making
Environmental Sustainability
Human Machine Collaboration
What Are the Benefits of Taking an Artificial Intelligence Course?Chief AI Officer
Enrolling in an artificial intelligence (AI) course offers a plethora of benefits that extend across personal, professional, and societal realms. Firstly, such courses provide participants with a profound understanding of AI concepts, algorithms, and technologies, enabling them to harness the power of AI for problem-solving and innovation. This knowledge equips individuals with highly sought-after skills in today's technology-driven job market, enhancing employability and career prospects.
Moreover, AI courses cultivate critical thinking, analytical prowess, and creativity, fostering a mindset conducive to tackling complex challenges and driving continuous improvement. Participants learn to leverage AI tools and techniques to streamline processes, optimize decision-making, and unlock insights from vast datasets, thus enhancing organizational efficiency and competitiveness.
Furthermore, by delving into AI ethics, responsibility, and societal implications, these courses cultivate a heightened awareness of the ethical and social considerations surrounding AI deployment. This awareness fosters responsible AI practices and helps mitigate potential risks and biases associated with AI applications.
Overall, the benefits of taking an AI course are manifold, ranging from personal and professional skill enhancement to organizational advancement and societal progress. As AI continues to reshape industries and societies worldwide, individuals and organizations that embrace AI education stand to gain a significant competitive edge in the evolving digital landscape.
Artificial Intelligence (AI)
Business Innovation
Societal Challenges
Empowering Communities
Inclusive Access and Participation
Civic Engagement and Governance
Community Health and Well-Being
Social Impact Investing and Philanthropy
Ethical and Responsible Innovation
Artificial Intelligence (AI)
Society
Economic Impact
Education and skill development
Ethics and bias
Health care and well-being
Privacy and surveillance
Accessibility and inclusiivity
Artificial Intelligence (AI)
Social Innovation
Societal Challenges
Empowering Communities
Inclusive Access and Participation
Civic Engagement
Governance
Community Health
Well-Being
Social Impact Investing
Philanthropy
Ethical and Responsible Innovation
EXECUTIVE SUMMARY
At the core of the cascading scandals around AI in 2018 are questions of accountability: who is responsible when AI systems harm us? How do we understand these harms, and how do we
remedy them? Where are the points of intervention, and what additional research and regulation is needed to ensure those interventions are effective? Currently there are few answers to these questions, and the frameworks presently governing AI are not capable of ensuring accountability.
As the pervasiveness, complexity, and scale of these systems grow, the lack of meaningful accountability and oversight – including basic safeguards of responsibility, liability, and due
process – is an increasingly urgent concern.
Building on our 2016 and 2017 reports, the AI Now 2018 Report contends with this central problem and addresses the following key issues:
1. The growing accountability gap in AI, which favors those who create and deploy these technologies at the expense of those most affected
2. The use of AI to maximize and amplify surveillance, especially in conjunction with facial and affect recognition, increasing the potential for centralized control and oppression
3. Increasing government use of automated decision systems that directly impact individuals and communities without established accountability structures
4. Unregulated and unmonitored forms of AI experimentation on human populations
5. The limits of technological solutions to problems of fairness, bias, and discrimination
Within each topic, we identify emerging challenges and new research, and provide recommendations regarding AI development, deployment, and regulation. We offer practical
pathways informed by research so that policymakers, the public, and technologists can better understand and mitigate risks. Given that the AI Now Institute’s location and regional expertise is concentrated in the U.S., this report will focus primarily on the U.S. context, which is also where several of the world’s largest AI companies are based.
* "Responsible AI Leadership: A Global Summit on Generative AI"
*April 2023 guide for experts and policymakers
* Developing and governing generative AI systems
* + 100 thought leaders and practitioners participated
* Recommendations for responsible development, open innovation & social progress
* 30 action-oriented recommendations aim
* Navigate AI complexities
Regulating Artificial Intelligence (AI)
Ethical Principles
Legal Frameworks
Transparency and Accountability
Risk Assessment and Mitigation
Data Governance and Privacy
Interdisciplinary Collaboration
International Cooperation
Ethical Dimensions of Artificial Intelligence (AI) by Rinshad ChoorapparaRinshad Choorappara
Explore the ethical landscape of Artificial Intelligence (AI) through our insightful PowerPoint presentation. Delve into crucial considerations that shape the responsible development and deployment of AI technologies. From privacy concerns and bias mitigation to transparency and accountability, this presentation covers the key ethical dimensions of AI. Gain a comprehensive understanding of the ethical challenges and solutions in the rapidly evolving world of artificial intelligence. Stay informed and empower your audience with the knowledge needed to navigate the ethical intricacies of AI responsibly.
Let us see the good and bad effects of the impact of Artificial Intelligence and the emerging technologies!
Artificial Intelligence (AI) has emerged as a transformative force, revolutionising various industries and enhancing our daily lives. However, AI brings forth a complex web of ethical considerations and remarkable advancements. This blog delves into the ethical dilemmas surrounding AI, including algorithmic biases, job displacement, privacy concerns, and the pressing need for responsible AI development and deployment.
Business
AI
Artificial Intelligence
Research and Development
Commercialization and Production
Integration and Deployment
Workforce and Transformation
Ethical and Responsible AI use
Regulatory Compliance and Governance
Collaboration and Partnerships
Discovering the Right Path in the Ethical World of Artificial IntelligencePrashantTripathi629528
Artificial Intelligence (AI) has emerged as a transformative force, revolutionising various industries and enhancing our daily lives. However, AI brings forth a complex web of ethical considerations and remarkable advancements. This blog delves into the ethical dilemmas surrounding AI, including algorithmic biases, job displacement, privacy concerns, and the pressing need for responsible AI development and deployment.
In February of 2019, the Policy Lab (of the Digital Government Policy and Innovation branch) reported on the work they've been doing towards finalising an AI Ethics framework.
The Ethical Maze to Be Navigated: AI Bias in Data Science and Technology.sakshibhattco
The rapid advancement of data science and artificial intelligence (AI) in recent years has revolutionized a wide range of sectors, including healthcare and finance.
Sociology of Machine Learning
Ethics and Fairness
Accountability and Transparency
Labor and Automation
Surveillance and Privacy
Cultural and social Impacts
Policy and Governance
Artificial Intelligence (AI)
Future Society
Automation
Displacement
Productivity
Economic Growth
Income Inequality
Distributional Impacts
Skills
Workforce Development
Ethical and Societal Implications
Skill Development
workforce Transformation
Healthcare and well-being
Education
Lifelong learning
Governance
Decision Making
Environmental Sustainability
Human Machine Collaboration
What Are the Benefits of Taking an Artificial Intelligence Course?Chief AI Officer
Enrolling in an artificial intelligence (AI) course offers a plethora of benefits that extend across personal, professional, and societal realms. Firstly, such courses provide participants with a profound understanding of AI concepts, algorithms, and technologies, enabling them to harness the power of AI for problem-solving and innovation. This knowledge equips individuals with highly sought-after skills in today's technology-driven job market, enhancing employability and career prospects.
Moreover, AI courses cultivate critical thinking, analytical prowess, and creativity, fostering a mindset conducive to tackling complex challenges and driving continuous improvement. Participants learn to leverage AI tools and techniques to streamline processes, optimize decision-making, and unlock insights from vast datasets, thus enhancing organizational efficiency and competitiveness.
Furthermore, by delving into AI ethics, responsibility, and societal implications, these courses cultivate a heightened awareness of the ethical and social considerations surrounding AI deployment. This awareness fosters responsible AI practices and helps mitigate potential risks and biases associated with AI applications.
Overall, the benefits of taking an AI course are manifold, ranging from personal and professional skill enhancement to organizational advancement and societal progress. As AI continues to reshape industries and societies worldwide, individuals and organizations that embrace AI education stand to gain a significant competitive edge in the evolving digital landscape.
Artificial Intelligence (AI)
Business Innovation
Societal Challenges
Empowering Communities
Inclusive Access and Participation
Civic Engagement and Governance
Community Health and Well-Being
Social Impact Investing and Philanthropy
Ethical and Responsible Innovation
Artificial Intelligence (AI)
Society
Economic Impact
Education and skill development
Ethics and bias
Health care and well-being
Privacy and surveillance
Accessibility and inclusiivity
Artificial Intelligence (AI)
Social Innovation
Societal Challenges
Empowering Communities
Inclusive Access and Participation
Civic Engagement
Governance
Community Health
Well-Being
Social Impact Investing
Philanthropy
Ethical and Responsible Innovation
EXECUTIVE SUMMARY
At the core of the cascading scandals around AI in 2018 are questions of accountability: who is responsible when AI systems harm us? How do we understand these harms, and how do we
remedy them? Where are the points of intervention, and what additional research and regulation is needed to ensure those interventions are effective? Currently there are few answers to these questions, and the frameworks presently governing AI are not capable of ensuring accountability.
As the pervasiveness, complexity, and scale of these systems grow, the lack of meaningful accountability and oversight – including basic safeguards of responsibility, liability, and due
process – is an increasingly urgent concern.
Building on our 2016 and 2017 reports, the AI Now 2018 Report contends with this central problem and addresses the following key issues:
1. The growing accountability gap in AI, which favors those who create and deploy these technologies at the expense of those most affected
2. The use of AI to maximize and amplify surveillance, especially in conjunction with facial and affect recognition, increasing the potential for centralized control and oppression
3. Increasing government use of automated decision systems that directly impact individuals and communities without established accountability structures
4. Unregulated and unmonitored forms of AI experimentation on human populations
5. The limits of technological solutions to problems of fairness, bias, and discrimination
Within each topic, we identify emerging challenges and new research, and provide recommendations regarding AI development, deployment, and regulation. We offer practical
pathways informed by research so that policymakers, the public, and technologists can better understand and mitigate risks. Given that the AI Now Institute’s location and regional expertise is concentrated in the U.S., this report will focus primarily on the U.S. context, which is also where several of the world’s largest AI companies are based.
* "Responsible AI Leadership: A Global Summit on Generative AI"
*April 2023 guide for experts and policymakers
* Developing and governing generative AI systems
* + 100 thought leaders and practitioners participated
* Recommendations for responsible development, open innovation & social progress
* 30 action-oriented recommendations aim
* Navigate AI complexities
Regulating Artificial Intelligence (AI)
Ethical Principles
Legal Frameworks
Transparency and Accountability
Risk Assessment and Mitigation
Data Governance and Privacy
Interdisciplinary Collaboration
International Cooperation
Ethical Dimensions of Artificial Intelligence (AI) by Rinshad ChoorapparaRinshad Choorappara
Explore the ethical landscape of Artificial Intelligence (AI) through our insightful PowerPoint presentation. Delve into crucial considerations that shape the responsible development and deployment of AI technologies. From privacy concerns and bias mitigation to transparency and accountability, this presentation covers the key ethical dimensions of AI. Gain a comprehensive understanding of the ethical challenges and solutions in the rapidly evolving world of artificial intelligence. Stay informed and empower your audience with the knowledge needed to navigate the ethical intricacies of AI responsibly.
Let us see the good and bad effects of the impact of Artificial Intelligence and the emerging technologies!
Artificial Intelligence (AI) has emerged as a transformative force, revolutionising various industries and enhancing our daily lives. However, AI brings forth a complex web of ethical considerations and remarkable advancements. This blog delves into the ethical dilemmas surrounding AI, including algorithmic biases, job displacement, privacy concerns, and the pressing need for responsible AI development and deployment.
Business
AI
Artificial Intelligence
Research and Development
Commercialization and Production
Integration and Deployment
Workforce and Transformation
Ethical and Responsible AI use
Regulatory Compliance and Governance
Collaboration and Partnerships
Discovering the Right Path in the Ethical World of Artificial IntelligencePrashantTripathi629528
Artificial Intelligence (AI) has emerged as a transformative force, revolutionising various industries and enhancing our daily lives. However, AI brings forth a complex web of ethical considerations and remarkable advancements. This blog delves into the ethical dilemmas surrounding AI, including algorithmic biases, job displacement, privacy concerns, and the pressing need for responsible AI development and deployment.
In February of 2019, the Policy Lab (of the Digital Government Policy and Innovation branch) reported on the work they've been doing towards finalising an AI Ethics framework.
The Ethical Maze to Be Navigated: AI Bias in Data Science and Technology.sakshibhattco
The rapid advancement of data science and artificial intelligence (AI) in recent years has revolutionized a wide range of sectors, including healthcare and finance.
Sociology of Machine Learning
Ethics and Fairness
Accountability and Transparency
Labor and Automation
Surveillance and Privacy
Cultural and social Impacts
Policy and Governance
Artificial Intelligence
AI
Human Emotion
Emotion Recognition
Virtual Assistants and Chatbots
Emotionally Intelligent Interfaces
Artificial Emotional Intelligence
Ethical Considerations
Bias and Cultural Sensitivity
Human - AI Interaction Design
Artificial Intelligence
AI
Human Interaction
Natural Language Processing
NLP
Voice Assistance
Smart Speakers
Language Translation
Cross-Cultural Communication
Sentiment Analysis
Emotion Recognition
Personalized Communication
Content Recommendation
Virtual Collaboration
Remote Communication
Accessibility
Ethical and social implications
Artificial Intelligence
AI
Human Interaction
Virtual Assistants
Chatbots
Social Media
Recommendation Systems
Language Translation
Cross-Cultural Communication
Emotion Recognition
Sentiment Analysis
Personalization
User Experience
Autonomous Vehicles
Human Machine Collaboration
Healthcare and Wellness
Ethical and Social Implications
Artificial Intelligence
Future Economy
Automation and Labor Market Disruption
Productivity and Efficiency Gains
Innovation and Entrepreneurship
Data Economy and Monetization
Digital Transformation and Industry 4.0
Skill Development and Workforce Transformation
Ethical and Societal Implications
Artificial Intelligence (AI)
Future Jobs
Artificial Creativity
Language and Communication
Media and Entertainment
Heritage Preservation
Cultural Heritage
Social and Cultural Analysis
Ethical and Societal Implications
Artificial Intelligence (AI)
Cultural Innovation
Creative Expression and Artistic Exploration
Cultural Preservation and Heritage Conservation
Content Creation and Curation
Multilingualism and Cross Cultural Communication
Cultural Analysis and Understanding
Social Impact Investing and Philanthropy
Ethical and Responsible Cultural Innovation
Artificial Intelligence (AI)
Technological Innovation
Automation and Efficiency
Data Analytics and Insights
Predictive Modeling and Forecasting
Personalization and Customization
Autonomous systems and Robotics
Natural Language Processing (NLP)
Cross-disciplinary collaboration
Artificial Intelligence (AI)
Scientific Research
Data Analysis and Interpretation
Predictive Modelling and Simulation
Drug Discovery and Development
Genomics and Bioinformatics
Scientific Discovery and Innovation
Collaborative Research and Open Science
Ethical and Responsible Innovation
Artificial Intelligence (AI)
Health Development
Medical Imaging and Diagnostics
Clinical Decision Support
Drug Discovery and Development
Genomics and Precision Medicine
Remote Monitoring and Telemedicine
Public Health Surveillance and Disease Forecasting
Health Resource Allocation and Optimization
Artificial Development (AI)
Education Development
Smart Infrastructure Planning
Design Optimization
Construction Automation
Predictive Maintenance
energy and resource optimization
Resilence and risk management
Artificial Intelligence (AI)
Social Development
Access to Education
Healthcare Access and Delivery
Social Inclusion and Diversity
Disaster Response and Humanitarian Aid
Environment Conservation
Sustainability
Community Development and Empowerment
Crisis Response and Conflict Resolution
Artificial Intelligence (AI)
Economic Development
Increased Productivity
Innovation and Entrepreneurship
Industry Transformation
Job Creation and Workforce Development
Enhanced Decision Making and Risk Management
Global Competitiveness
Inclusive Growth and Sustainable Development
Artificial Intelligence (AI)
Human Rights
Rights to Privacy
Freedom of Expression and Information
Right to Non-Discrimination
Right to Equality and Non-Discrimination
Right to Due Process and Fair Trial
Right to Work and Labour Rights
Right to Health and Well-Being
Future AI
Regulations
Rapid Technological Advancement
Interdisciplinary Complexity
Lack of International Consensus
Ethical and Moral Dilemmas
Alogorithmic Transparency and Interpretability
Bias and Discrimination
Enforcement and Compliance
Unintended Consequences and Risks
More from Dr.A.Prabaharan Professor & Research Director, Public Action (20)
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath New York Community Day in-person eventDianaGray10
UiPath Community Day is a unique gathering designed to foster collaboration, learning, and networking with automation enthusiasts. Whether you're an automation developer, business analyst, IT professional, solution architect, CoE lead, practitioner or a student/educator excited about the prospects of artificial intelligence and automation technologies in the United States, then the UiPath Community Day is definitely the place you want to be.
Join UiPath leaders, experts from the industry, and the amazing community members and let's connect over expert sessions, demos and use cases around AI in automation as we highlight our technology with a special speaker on Document Understanding.
📌Agenda
3:00 PM Registrations
3:30 PM Welcome note and Introductions | Corina Gheonea (Senior Director of Global UiPath Community)
4:00 PM Introduction to Document Understanding
How to build and deploy Document Understanding process
Where would Document Understanding be used.
Demo
Q&A
4:45 PM Customer/Partner showcase
Accelirate
Intro to Accelirate and history with UiPath
Why are we excited about the new AI features of UiPath?
Customer highlight
a. Document Understanding – BJs Case Study
b. Document Understanding + generative AI
5.30 PM Networking
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
КАТЕРИНА АБЗЯТОВА «Ефективне планування тестування ключові аспекти та практ...QADay
Lviv Direction QADay 2024 (Professional Development)
КАТЕРИНА АБЗЯТОВА
«Ефективне планування тестування ключові аспекти та практичні поради»
https://linktr.ee/qadayua
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Role of Individuals in ArIifical Intelligence's Future.pptx
1. Role of Individuals in AI Future
Dr. A. Prabaharan
Professor & Research Director,
Public Action
www.indopraba.blogspot.com
2. AI & Future
Individuals play crucial roles in
the development, deployment,
and governance of artificial
intelligence (AI).
Here are several key roles
individuals can play in the
context of AI
www.indopraba.blogspot.com
3. AI Development and Research
Individuals, including AI researchers,
engineers, and developers, drive innovation in
AI by creating new algorithms, models, and
technologies.
They conduct research, experiment with AI
techniques, and develop prototypes to
advance the state-of-the-art in AI and solve
complex problems across various domains.
www.indopraba.blogspot.com
4. Ethical Considerations
Individuals involved in AI development have a
responsibility to consider the ethical implications of
their work.
They can advocate for ethical AI principles, such as
fairness, transparency, accountability, and privacy, and
incorporate ethical considerations into the design,
development, and deployment of AI systems.
www.indopraba.blogspot.com
5. AI Education and Training
Individuals can acquire skills and knowledge
in AI-related fields through education and
training programs.
By investing in learning opportunities,
individuals can prepare themselves for
careers in AI, contribute to AI research and
development efforts, and stay informed
about the latest advancements and best
practices in the field.
www.indopraba.blogspot.com
6. User Feedback and Engagement
Individuals who interact with AI systems, such as
users of AI-powered applications and services,
can provide valuable feedback and input based
on their experiences.
By sharing their insights, preferences, and
concerns, users can help improve the usability,
effectiveness, and ethical implications of AI
technologies.
www.indopraba.blogspot.com
7. Policy Advocacy and Regulation
Individuals can advocate for policies and
regulations that govern the responsible
development and use of AI.
They can engage with policymakers,
industry stakeholders, and civil society
organizations to shape AI-related
legislation, standards, and guidelines that
promote ethical AI practices and protect
societal interests.
www.indopraba.blogspot.com
8. AI Governance and Oversight
www.indopraba.blogspot.com
Individuals can participate in governance
mechanisms and oversight bodies responsible for
monitoring and regulating AI systems.
They can contribute to the development of
governance frameworks, ethical guidelines, and
accountability mechanisms that ensure the
responsible deployment and management of AI
technologies.
9. AI for Social Good
Individuals can use AI to address pressing
societal challenges and promote social good.
They can participate in AI-driven initiatives and
projects focused on areas such as healthcare,
education, environmental sustainability, and
social justice, leveraging AI technologies to
create positive impact and improve quality of
life for individuals and communities.