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!
Coddle Technologies provide a complete spectrum of software development services delivering innovative solutions for Startups, SMBs and Enterprises.
Link :https://www.coddletech.com/
Artificial Intelligence (AI)
Society
Economic Impact
Education and skill development
Ethics and bias
Health care and well-being
Privacy and surveillance
Accessibility and inclusiivity
Emerging Trends in AI and data science IN KRCTkrctseo
In this era of technology, Artificial Intelligence (AI) stand as the pillar of innovation, driving changes across all industries and even society as a whole. As we look into the future, it’s essential to notice the emerging trends in AI shaping the trajectory of our world. These trends are paving the way for new possibilities and advancements in all aspects of life.
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!
Coddle Technologies provide a complete spectrum of software development services delivering innovative solutions for Startups, SMBs and Enterprises.
Link :https://www.coddletech.com/
Artificial Intelligence (AI)
Society
Economic Impact
Education and skill development
Ethics and bias
Health care and well-being
Privacy and surveillance
Accessibility and inclusiivity
Emerging Trends in AI and data science IN KRCTkrctseo
In this era of technology, Artificial Intelligence (AI) stand as the pillar of innovation, driving changes across all industries and even society as a whole. As we look into the future, it’s essential to notice the emerging trends in AI shaping the trajectory of our world. These trends are paving the way for new possibilities and advancements in all aspects of life.
AI in Action: Real World Use Cases by AnitarajAnitaRaj43
The presentation was made in “Web3 Fusion: Embracing AI and Beyond” is more than a conference; it's a journey into the heart of digital transformation.
The conference a provided a platform where the future of technology meets practical application. This three-day hybrid event, set in the heart of innovation, served as a gateway to the latest trends and transformative discussions in AI, Blockchain, IoT, AR/VR, and their collective impact on the information space.
Ever wondered if technology can have a positive impact on society? Yes! Technology is not just revolutionizing industries. But is also rewriting the narrative of social impact. Artificial intelligence is a beacon of hope in a world of complex challenges. From healthcare to education, and disaster management. AI is serving as a “single solution to all problems”. Let’s explore the role of AI in social good. Originally published at https://writeme.ai/blog/ai-for-social-good/#healthcare
La inteligencia artificial está cambiando la forma en que vivimos y trabajamos. Buscar predicciones, previsiones meteorológicas, carros que se conducen solos y reconocimiento de voz son algunos ejemplos de aplicaciones donde podemos ver la presencia de la inteligencia artificial en nuestra vida diaria.
Artificial Intelligence: Shaping the Future of Technologycyberprosocial
In the realm of technology, Artificial Intelligence (AI) stands as a beacon of innovation, promising transformative changes across various industries and facets of our lives. This rapidly evolving field is not just about machines mimicking human intelligence; it’s about revolutionizing the way we live, work, and interact with the world. In this article, we will delve into the intricacies of AI, exploring its applications, potential impact, and the ethical considerations that accompany this technological marvel.
Artificial intelligence (AI) is an innovative field of computer science that aims to create intelligent machines capable of performing tasks that typically require human intelligence. It encompasses a wide range of techniques, algorithms, and methodologies that enable machines to simulate human cognitive functions, including learning, reasoning, problem-solving, and perception. AI has become one of the most prominent and transformative technologies of the modern era, revolutionizing numerous industries and aspects of our daily lives.
At its core, AI involves developing computer systems that can process vast amounts of data, extract meaningful patterns and insights, and make informed decisions or take appropriate actions. Machine learning, a subset of AI, plays a vital role in enabling computers to learn and improve from experience without being explicitly programmed. By leveraging algorithms and statistical models, machines can analyze data, identify patterns, and make predictions or decisions based on the learned information.
AI applications are diverse and span across various domains. In healthcare, AI has facilitated medical diagnoses, drug discovery, and personalized treatment plans. In transportation, AI has advanced autonomous vehicles, optimizing traffic management systems, and improving safety. AI-driven virtual assistants like Siri and Alexa have become household names, providing voice recognition and natural language processing capabilities. AI has also made significant contributions to fields such as finance, marketing, manufacturing, and cybersecurity.
Deep learning, a subset of machine learning, has been instrumental in achieving remarkable breakthroughs in AI. Inspired by the structure and function of the human brain, deep learning involves training artificial neural networks with multiple layers to process and analyze complex data. This has led to significant advancements in computer vision, natural language processing, and speech recognition, allowing machines to understand and interact with humans more effectively.
However, AI also raises important ethical and societal considerations. As AI systems become more autonomous and capable, questions about privacy, job displacement, bias, and accountability come to the forefront. It is crucial to develop AI technologies and frameworks that are transparent, accountable, and aligned with human values.
In conclusion, artificial intelligence represents a remarkable frontier in technology, driving innovation and transforming numerous industries. As AI continues to evolve, its potential to augment human capabilities and solve complex problems is becoming increasingly evident. Balancing technological advancements with ethical considerations will be crucial in shaping the future of AI for the benefit of society.
Artificial-Intelligence-Unleashed-Exploring-the-Frontiers-of-Computer-Science...Attitude Tally Academy
In the rapidly evolving landscape of technology, the realm of computer science is witnessing a profound transformation, and at the forefront of this revolution is the dynamic duo of Artificial Intelligence and Machine Learning. These cutting-edge technologies have unleashed a wave of innovation, pushing the boundaries of what was once thought possible.
Useful Link: https://www.attitudetallyacademy.com/functionalarea/computer-science
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.
Artificial Intelligence (AI) refers to the development of intelligent machines that can perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI involves the use of algorithms and statistical models to identify patterns and make predictions based on data. The potential for AI is vast, and it has the ability to revolutionize the way we live and work. From virtual assistants to self-driving cars, AI is already being used in a wide range of applications.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
AI in Action: Real World Use Cases by AnitarajAnitaRaj43
The presentation was made in “Web3 Fusion: Embracing AI and Beyond” is more than a conference; it's a journey into the heart of digital transformation.
The conference a provided a platform where the future of technology meets practical application. This three-day hybrid event, set in the heart of innovation, served as a gateway to the latest trends and transformative discussions in AI, Blockchain, IoT, AR/VR, and their collective impact on the information space.
Ever wondered if technology can have a positive impact on society? Yes! Technology is not just revolutionizing industries. But is also rewriting the narrative of social impact. Artificial intelligence is a beacon of hope in a world of complex challenges. From healthcare to education, and disaster management. AI is serving as a “single solution to all problems”. Let’s explore the role of AI in social good. Originally published at https://writeme.ai/blog/ai-for-social-good/#healthcare
La inteligencia artificial está cambiando la forma en que vivimos y trabajamos. Buscar predicciones, previsiones meteorológicas, carros que se conducen solos y reconocimiento de voz son algunos ejemplos de aplicaciones donde podemos ver la presencia de la inteligencia artificial en nuestra vida diaria.
Artificial Intelligence: Shaping the Future of Technologycyberprosocial
In the realm of technology, Artificial Intelligence (AI) stands as a beacon of innovation, promising transformative changes across various industries and facets of our lives. This rapidly evolving field is not just about machines mimicking human intelligence; it’s about revolutionizing the way we live, work, and interact with the world. In this article, we will delve into the intricacies of AI, exploring its applications, potential impact, and the ethical considerations that accompany this technological marvel.
Artificial intelligence (AI) is an innovative field of computer science that aims to create intelligent machines capable of performing tasks that typically require human intelligence. It encompasses a wide range of techniques, algorithms, and methodologies that enable machines to simulate human cognitive functions, including learning, reasoning, problem-solving, and perception. AI has become one of the most prominent and transformative technologies of the modern era, revolutionizing numerous industries and aspects of our daily lives.
At its core, AI involves developing computer systems that can process vast amounts of data, extract meaningful patterns and insights, and make informed decisions or take appropriate actions. Machine learning, a subset of AI, plays a vital role in enabling computers to learn and improve from experience without being explicitly programmed. By leveraging algorithms and statistical models, machines can analyze data, identify patterns, and make predictions or decisions based on the learned information.
AI applications are diverse and span across various domains. In healthcare, AI has facilitated medical diagnoses, drug discovery, and personalized treatment plans. In transportation, AI has advanced autonomous vehicles, optimizing traffic management systems, and improving safety. AI-driven virtual assistants like Siri and Alexa have become household names, providing voice recognition and natural language processing capabilities. AI has also made significant contributions to fields such as finance, marketing, manufacturing, and cybersecurity.
Deep learning, a subset of machine learning, has been instrumental in achieving remarkable breakthroughs in AI. Inspired by the structure and function of the human brain, deep learning involves training artificial neural networks with multiple layers to process and analyze complex data. This has led to significant advancements in computer vision, natural language processing, and speech recognition, allowing machines to understand and interact with humans more effectively.
However, AI also raises important ethical and societal considerations. As AI systems become more autonomous and capable, questions about privacy, job displacement, bias, and accountability come to the forefront. It is crucial to develop AI technologies and frameworks that are transparent, accountable, and aligned with human values.
In conclusion, artificial intelligence represents a remarkable frontier in technology, driving innovation and transforming numerous industries. As AI continues to evolve, its potential to augment human capabilities and solve complex problems is becoming increasingly evident. Balancing technological advancements with ethical considerations will be crucial in shaping the future of AI for the benefit of society.
Artificial-Intelligence-Unleashed-Exploring-the-Frontiers-of-Computer-Science...Attitude Tally Academy
In the rapidly evolving landscape of technology, the realm of computer science is witnessing a profound transformation, and at the forefront of this revolution is the dynamic duo of Artificial Intelligence and Machine Learning. These cutting-edge technologies have unleashed a wave of innovation, pushing the boundaries of what was once thought possible.
Useful Link: https://www.attitudetallyacademy.com/functionalarea/computer-science
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.
Artificial Intelligence (AI) refers to the development of intelligent machines that can perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI involves the use of algorithms and statistical models to identify patterns and make predictions based on data. The potential for AI is vast, and it has the ability to revolutionize the way we live and work. From virtual assistants to self-driving cars, AI is already being used in a wide range of applications.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
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.
3. Introduction to AI
Artificial Intelligence, or AI, is a rapidly evolving technology that has
the potential to transform our world. It involves creating machines
that can perform tasks that would normally require human
intelligence, such as learning, problem-solving, and decision-making.
AI has already made significant advancements in areas such as
healthcare, finance, transportation, and entertainment. For example,
AI-powered medical devices can help doctors diagnose and treat
diseases more accurately, while self-driving cars could reduce traffic
accidents and congestion.
4. Pros of AI
• One of the biggest advantages of AI is its
ability to improve efficiency and
productivity. By automating repetitive tasks,
businesses can save time and money,
allowing them to focus on more important
tasks.
• AI also has the potential to revolutionize
industries such as education, where it can
personalize learning experiences for
students, and agriculture, where it can
optimize crop yields and reduce waste.
6. The Future of AI
• As AI continues to evolve, it will bring
both opportunities and challenges. It is
likely that we will see continued growth in
areas such as robotics, machine learning,
and natural language processing.
• However, it is important that we
approach the development of AI with
caution and foresight, taking steps to
mitigate potential risks and ensure that
the technology is used for the benefit of
humanity.
7. Ethical Considerations
• As AI becomes more advanced, it raises important
ethical questions. For example, how should we ensure
that AI systems are transparent and accountable? How
can we prevent bias and discrimination in AI algorithms?
• There is also a need to consider the impact of AI on
society as a whole, including issues such as privacy,
security, and inequality. These are complex issues that
will require careful consideration and collaboration
between policymakers, industry leaders, and the public.
