Lars Winkelbauer – Navigating the Ethical Landscape: AI in Sustainable Development

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Artificial intelligence meeting sustainability presents much hope. However, among these pressing challenges, ethics bring up aspects that need to be navigated with care. These include issues such as algorithm bias and privacy concerns. Alteration in the decision-making process and more. Lars Winkelbauer states thatit is important to make changes. To ensure that AI is used to help us reach the goal of sustainability without a disregard for ethics.

ACCESS AND DIGITAL DIVIDE
THE INCREASE IN THE USE OF ARTIFICIAL INTELLIGENCE IN INITIATIVES IS
GIVING RISE TO MANY CONCERNS. MOSTLY THOSE ASSOCIATED WITH
DIGITAL DIVIDE-RELATED ISSUES AND OVERALL ACCESSIBILITY.
DIFFERENCES IN ACCESS TO RESOURCES CAN INCREASE THE
INEQUALITIES THAT ARE ALREADY EXISTING. THE UNDERSERVED
COMMUNITY HAS TO FACE BARRIERS. ADDRESSING THIS DIVIDE
REQUIRES THAT ACTIVE MEASURES BE PUT IN PLACE TO ENSURE
PROPER ANSWERS. ARTIFICIAL INTELLIGENCE-RELATED TOOLS SHOULD
BE INCLUSIVE. THE AIM SHOULD BE TO BUILD A COMMUNITY WITH
ENGAGEMENT AND OPPORTUNITY.

ACCOUNTABILITY
ARTIFICIALLY INTELLIGENT SYSTEMS OFTEN PROVIDE ONE WITH
RECOMMENDATIONS WHEN CARRYING OUT ACTIONS. IT MUST
HENCE BE ENSURED THAT RESPONSIBLE PARTIES ASSOCIATED
WITH THE SAME BE HELD ACCOUNTABLE FOR THE IMPACT.
ESPECIALLY THOSE ASSOCIATED WITH SUSTAINABILITY.

TRANSPARENCY
IT IS QUITE IMPORTANT FOR DEVELOPING ACCOUNTABILITY AND
TRANSPARENCY IN ARTIFICIAL INTELLIGENCE SYSTEMS.
STAKEHOLDERS, POLICYMAKERS, RESEARCHERS AND MANY MORE
ARE IMPACTED. THEY SHOULD HAVE ACCESS TO THE INFORMATION
ABOUT HOW THE ARTIFICIAL INTELLIGENT SYSTEM WORK. A CLEAR
INFORMATION ON UNDERLYING DECISION-MAKING PROCESSES
SHOULD BE AVAILABLE. THIS ADDS TO THE FACTOR OF TRUST.

DATA PROTECTION AND PRIVACY
ARTIFICIAL INTELLIGENCE SYSTEMS RELY ON MAKING USE OF
HUGE DATA SETS. THESE ARE COLLECTED FROM SATELLITE
SENSORS AND INTERNET-CONNECTED DEVICES. THIS RAISES
MANY PRIVACY-RELATED ISSUES. SPECIFICALLY, THOSE RELATED
TO THE STORAGE AND USE OF PERSONAL INFORMATION CAN BE
QUITE SENSITIVE. MAKING SURE THAT THE DATA IS PROTECTED IS
QUITE IMPORTANT. SPECIFICALLY IN MATTERS RELATED TO PUBLIC
TRUST AND KEEPING UP WITH INDIVIDUAL RIGHTS. TRANSPARENT
FRAMEWORKS HELP UPHOLD PRIVACY STANDARDS.

BIAS IN ALGORITHM
IT IS A MAJOR ISSUE WHEN IT COMES TO THE USE OF ARTIFICIAL
INTELLIGENCE. THE SYSTEMS REQUIRE HUGE DATA SETS IN ORDER
TO TRAIN. HISTORICAL DATA SETS REFLECT A BIAS. THIS CAN
MAGNIFY EXISTING INEQUALITY. WHEN PUT IN PLACE FOR
SUSTAINABLE INITIATIVES, THESE MIGHT LEAD TO IMPROPER
DECISION-MAKING. THESE CAN IMPACT SEVERAL COMMUNITIES AND
FAVOR CERTAIN SOLUTIONS. ADDRESSING THIS BIAS REQUIRES ONE
TO BE CAREFUL WHEN IT COMES TO DATA SELECTION. ESPECIALLY
THOSE ASSOCIATED WITH THE ALGORITHM. FREQUENT MONITORING
SHOULD ALSO BE PUT IN PLACE TO ENSURE FAIRNESS.

LONG TERM IMPACT
ETHICAL CONSIDERATIONS CAN HAVE A LONG-TERM IMPACT.
ARTIFICIAL INTELLIGENCE SYSTEMS OPTIMIZE APPROACHES. BUT
SOMETIMES, THESE CAN GENERATE NEW CHALLENGES. REDUCING
THESE CONSEQUENCES NEEDS COMPREHENSIVE ASSESSMENT.

CONCLUSION
ETHICAL DILEMMAS IN ARTIFICIALLY INTELLIGENT APPROACHES TOWARDS
SUSTAINABILITY CAN BE QUITE EXTENSIVE. THE ISSUES MAY INCLUDE
PRIVACY, EQUAL ACCESS, UNINTENDED RESULTS AND MUCH MORE. THUS,
BY PUTTING IN PLACE A SYSTEM WITH PROPER ETHICAL CONSIDERATION
CAN BRING ABOUT A GREAT CHANGE. ARTIFICIAL INTELLIGENCE CONTINUES
TO PLAY AN IMPORTANT ROLE IN SHAPING SUSTAINABILITY. READ LARS
WINKELBAUER — TECHNOLOGY REVOLUTIONIZING AIR CARGO PRACTICES.
SOURCE CREDIT -
HTTPS://LARSWINKELBAUERAI.WORDPRESS.COM/2024/05/16/NAVIGATING-
THE-ETHICAL-LANDSCAPE-AI-IN-SUSTAINABLE-DEVELOPMENT/

This presentation deals with with the power of TRANSPARENCY. How companies around the world, big and small ,are embracing total transparency with complete respect to privacy. to male the societies we live in fair and equitable The transparency is allowing them to build extraordinary trust and thrive in a world of increasing skepticism and extraordinary data where the ability to distinguish between truths and half truths or fact from fiction is becoming increasingly challenging and often impossible. The transparency is allowing corporations to delight customers and drive a level of personalisation that has never been seen before. Data lies at the heart of this transparency and combined with Machine learning and Artificial intelligence is breaking new grounds in customer obsession. Consumers are seeking this transparency and rewarding companies with their loyalty and more willing to pay premiums. This is cutting across progressive governments, companies, brands, shareholders, employees and is even driving richer peer to peer collaboration. The holy grail of total consumer transparency is when infotech meets Biotech revealing our every action and a wide range of emotions .Lastly the presentation makes an effort to characterise this phenomenon across industries from food, health & media to transportation, retail and fashion among others. Hope you enjoy the overview

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