It seems that just as quickly as Artificial Intelligence systems.docxLaticiaGrissomzz
It seems that just as quickly as Artificial Intelligence systems show promise in transforming how we work, live, drive, and even get treated by law enforcement, scholars and others question the ethics that surround these autonomous decision-making systems. The ethics of AI focuses on whether or not decisions are being made that discriminate against people on the basis of race, religion, sex, or other criteria.
AI's profound bias problems have become public in recent years, thanks to researchers like Joy Buolamwini and Timnit Gebru, authors of a
2018 study
that showed that face-recognition algorithms nearly always identified white males but recognized black women only two-thirds of the time. Consequences of that flaw can be serious if the algorithms cause law enforcement to discriminate when identifying suspects, or doctors use the algorithms to decide who to treat.
The challenge for developers is to remove bias from AI, which is complicated because the system depends upon the data that goes into the system. Training data must be vast, diverse, and reflective of the population so that the AI system has a strong sample.
Use this forum to discuss two examples of situations where bias can skew the data causing an AI system to discriminate against certain groups of people. How can fairness be built into the AI systems? Are the advantages that AI bring to a system worth the bias, if uncorrected?
.
AI ETHICS AND BIASES (For the AI BIAS).pdfAnwaarAlam2
This presentation Clearly States that AI bias is not completely harmful for us.
This Presentation was made by me for a inter-school competition and I won the 1st Prize.
This presentation includes,
1) 'WHAT AI BIAS IS?'
2) 'TYPES OF AI BIAS'
3) 'WHY AI BIAS CAN BE GOOD?'
4)'CASE STUDY OF AMAZON
SUCCESS STORY'
5) 'REVIEWS OF FAMOUS
PERSONALITIES ON AI'
I suggest you to use this presentation and rock in your competition,test, etc
Artificial intelligence (AI) refers to a constellation of technologies, including machine learning, perception, reasoning, and natural language processing. While the field has been pursuing principles and applications for over 65 years, recent advances, uses, and attendant public excitement have returned it to the spotlight. The impact of early AI 1 systems is already being felt, bringing with it challenges and opportunities, and laying the foundation on which future advances in AI will be integrated into social and economic domains. The potential wide-ranging impact make it necessary to look carefully at the ways in which these technologies are being applied now, whom they’re benefiting, and how they’re structuring our social, economic, and interpersonal lives.
The Ethical Considerations of AI in Retail_ Bias, Transparency, and User Priv...tamizhias2003
Mindnotix is an exclusive web and mobile app development company with 12+ years of experience and 400+ happy clients in India, US, UK and Middle East. We Provide Complete solution on disruptive technologies like AR, VR , IOT and AI app developments.
It seems that just as quickly as Artificial Intelligence systems.docxLaticiaGrissomzz
It seems that just as quickly as Artificial Intelligence systems show promise in transforming how we work, live, drive, and even get treated by law enforcement, scholars and others question the ethics that surround these autonomous decision-making systems. The ethics of AI focuses on whether or not decisions are being made that discriminate against people on the basis of race, religion, sex, or other criteria.
AI's profound bias problems have become public in recent years, thanks to researchers like Joy Buolamwini and Timnit Gebru, authors of a
2018 study
that showed that face-recognition algorithms nearly always identified white males but recognized black women only two-thirds of the time. Consequences of that flaw can be serious if the algorithms cause law enforcement to discriminate when identifying suspects, or doctors use the algorithms to decide who to treat.
The challenge for developers is to remove bias from AI, which is complicated because the system depends upon the data that goes into the system. Training data must be vast, diverse, and reflective of the population so that the AI system has a strong sample.
Use this forum to discuss two examples of situations where bias can skew the data causing an AI system to discriminate against certain groups of people. How can fairness be built into the AI systems? Are the advantages that AI bring to a system worth the bias, if uncorrected?
.
AI ETHICS AND BIASES (For the AI BIAS).pdfAnwaarAlam2
This presentation Clearly States that AI bias is not completely harmful for us.
This Presentation was made by me for a inter-school competition and I won the 1st Prize.
This presentation includes,
1) 'WHAT AI BIAS IS?'
2) 'TYPES OF AI BIAS'
3) 'WHY AI BIAS CAN BE GOOD?'
4)'CASE STUDY OF AMAZON
SUCCESS STORY'
5) 'REVIEWS OF FAMOUS
PERSONALITIES ON AI'
I suggest you to use this presentation and rock in your competition,test, etc
Artificial intelligence (AI) refers to a constellation of technologies, including machine learning, perception, reasoning, and natural language processing. While the field has been pursuing principles and applications for over 65 years, recent advances, uses, and attendant public excitement have returned it to the spotlight. The impact of early AI 1 systems is already being felt, bringing with it challenges and opportunities, and laying the foundation on which future advances in AI will be integrated into social and economic domains. The potential wide-ranging impact make it necessary to look carefully at the ways in which these technologies are being applied now, whom they’re benefiting, and how they’re structuring our social, economic, and interpersonal lives.
The Ethical Considerations of AI in Retail_ Bias, Transparency, and User Priv...tamizhias2003
Mindnotix is an exclusive web and mobile app development company with 12+ years of experience and 400+ happy clients in India, US, UK and Middle East. We Provide Complete solution on disruptive technologies like AR, VR , IOT and AI app developments.
Ethical Issues in Machine Learning Algorithms (Part 2)Vladimir Kanchev
The presentation deals with types of biases found in AI/ML systems - data bias, algorithmic bias, and lack of interpretability. Reasons for their appearances are given, and major approaches for their reduction.
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.
The report follows an intensive 12-month review of nearly 200 global publications including books, academic papers, national reports, think tank studies, research group offerings, company and management consultant pieces and a variety of other sources to create a comprehensive overview of the impact of AI on the professions.
https://cipr.co.uk/CIPR/Our_work/Policy/CIPR_Artificial_Intelligence_in_PR_panel.aspx
NCompass Live - March 13, 2019
http://nlc.nebraska.gov/NCompassLive/
In the presentation on February 13, I covered what emerging technology is and how it relates to libraries. Now it’s time to dive into what that means on a larger scale. What makes technology good or bad? Who is really qualified to make that determination? Anyone who tracks emerging technology will start to think about how this technology will affect the future of our communities and the world. What will make a piece of technology influential and powerful in the world? Tune in if you want to learn more about the following topics:
•Which ethics matter most in technology?
•What makes technology good or bad?
•What potential dangers should we be aware of with new technology?
•What factors might affect society in the long-run?
There are no easy answers to any of these questions. The concept of ‘ethics’ tends to be a gray area for many, and understandably so. This presentation won’t give you a finite right or wrong stance on all technology. But it will provide you with the tools to make the decision for yourself.
Presenter: Amanda Sweet, Technology Innovation Librarian, Nebraska Library Commission.
Examples Of Discourse Analysis
Essay On Business Analytics
Essay On Survey Analysis
Journal Article Analysis Essay example
Business Analysis : Business Analytics Essay
Examples Of Semiotic Analysis
Example Of Meta-Analysis Essay
Textual Analysis Essay example
Example Of A Play Analysis
Example Of Analytic Epidemiology
Decision-Making Model Analysis Essay example
Analytical Essay Examples
Analytic Essay : An Article On Facts
Example Of A Meta-Analysis Paper
Business Analytics
Data Analytic Analysis Paper Example
Artifact Analysis Examples
Example Of Decision Analytic Models
Organizational Analysis Essay examples
Talk on Algorithmic Bias given at York University (Canada) on March 11, 2019. This is a shorter version of an interactive workshop presented at University of Minnesota, Duluth in Feb 2019.
The Future of Moral Persuasion in Games, AR, AI Bots, and Self Trackers by Sh...Sherry Jones
4-18-19 - This presentation was shown at the eLearning Consortium of Colorado (eLCC) Annual Conference. The focus of the talk is on the various ethical problems that currently exist in the technology industry and predictions of how future technologies, such as Digital Games, AR, AI Bots, and Self Trackers, will be designed to morally persuade users.
The presentation that includes the video can be accessed here: http://bit.ly/futureethics
Ethical Issues in Machine Learning Algorithms (Part 2)Vladimir Kanchev
The presentation deals with types of biases found in AI/ML systems - data bias, algorithmic bias, and lack of interpretability. Reasons for their appearances are given, and major approaches for their reduction.
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.
The report follows an intensive 12-month review of nearly 200 global publications including books, academic papers, national reports, think tank studies, research group offerings, company and management consultant pieces and a variety of other sources to create a comprehensive overview of the impact of AI on the professions.
https://cipr.co.uk/CIPR/Our_work/Policy/CIPR_Artificial_Intelligence_in_PR_panel.aspx
NCompass Live - March 13, 2019
http://nlc.nebraska.gov/NCompassLive/
In the presentation on February 13, I covered what emerging technology is and how it relates to libraries. Now it’s time to dive into what that means on a larger scale. What makes technology good or bad? Who is really qualified to make that determination? Anyone who tracks emerging technology will start to think about how this technology will affect the future of our communities and the world. What will make a piece of technology influential and powerful in the world? Tune in if you want to learn more about the following topics:
•Which ethics matter most in technology?
•What makes technology good or bad?
•What potential dangers should we be aware of with new technology?
•What factors might affect society in the long-run?
There are no easy answers to any of these questions. The concept of ‘ethics’ tends to be a gray area for many, and understandably so. This presentation won’t give you a finite right or wrong stance on all technology. But it will provide you with the tools to make the decision for yourself.
Presenter: Amanda Sweet, Technology Innovation Librarian, Nebraska Library Commission.
Examples Of Discourse Analysis
Essay On Business Analytics
Essay On Survey Analysis
Journal Article Analysis Essay example
Business Analysis : Business Analytics Essay
Examples Of Semiotic Analysis
Example Of Meta-Analysis Essay
Textual Analysis Essay example
Example Of A Play Analysis
Example Of Analytic Epidemiology
Decision-Making Model Analysis Essay example
Analytical Essay Examples
Analytic Essay : An Article On Facts
Example Of A Meta-Analysis Paper
Business Analytics
Data Analytic Analysis Paper Example
Artifact Analysis Examples
Example Of Decision Analytic Models
Organizational Analysis Essay examples
Talk on Algorithmic Bias given at York University (Canada) on March 11, 2019. This is a shorter version of an interactive workshop presented at University of Minnesota, Duluth in Feb 2019.
The Future of Moral Persuasion in Games, AR, AI Bots, and Self Trackers by Sh...Sherry Jones
4-18-19 - This presentation was shown at the eLearning Consortium of Colorado (eLCC) Annual Conference. The focus of the talk is on the various ethical problems that currently exist in the technology industry and predictions of how future technologies, such as Digital Games, AR, AI Bots, and Self Trackers, will be designed to morally persuade users.
The presentation that includes the video can be accessed here: http://bit.ly/futureethics
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
1.4 modern child centered education - mahatma gandhi-2.pptx
Artificial Intelligence and Ethics from MS It seems.docx
1. Artificial Intelligence and Ethics (Clipart from MS Office) It seems
Artificial Intelligence and Ethics (Clipart from MS Office)It seems that just as quickly as
Artificial Intelligence systems show promise in transforming how we work, live, drive, and
even get treated by law enforcement, scholars and others question the ethics that surround
these autonomous decision-making systems. The ethics of AI focuses on whether or not
decisions are being made that discriminate against people on the basis of race, religion, sex,
or other criteria. AI’s profound bias problems have become public in recent years, thanks to
researchers like Joy Buolamwini and Timnit Gebru, authors of a 2018 study that showed
that face-recognition algorithms nearly always identified white males but recognized black
women only two-thirds of the time. Consequences of that flaw can be serious if the
algorithms cause law enforcement to discriminate when identifying suspects, or doctors
use the algorithms to decide who to treat.The challenge for developers is to remove bias
from AI, which is complicated because the system depends upon the data that goes into the
system. Training data must be vast, diverse, and reflective of the population so that the AI
system has a strong sample.Use this forum to discuss two examples of situations where bias
can skew the data causing an AI system to discriminate against certain groups of
people. How can fairness be built into the AI systems? Are the advantages that AI bring to a
system worth the bias, if uncorrected?REMEMBER- every post (New Thread or Reply) must
be supported by relevant information. Prove the point you are making by a) citing external
research, b) citing readings from the class content, or c) providing examples or personal
experiences that are relevant and support your position on the topic. It is always better to
begin your reflection on the topic by doing some research/reading, either a) or b) or both,
before considering personal experience. This research, reflection and subsequent writing is
an essential part of the learning process, framing your personal experience against and
alongside more general theories, concepts and writing on the topic. Grading of your
participation will be according to the table outlined in the Grading Policy/Rubric for Class
Participation (Weeks 1 – 8)” You can see the rubric by clicking on Discussions in the top nav
bar, then scrolling down to the Weekly Discussions area.
