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

larswinkelbauer23 17 views 11 slides May 16, 2024
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About This Presentation

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 Winkelb...


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

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/

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