Guiding The Smart Growth Of Artificial Intelligence.

A provides a comprehensive look at the development of an ethical framework code of conduct and value-based design methodologies for AI (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals) researchers and application developers in Georgia. To stimulate further discussion among policy makers, industry leaders researchers and application developers on AI’s (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals) opportunities and risks in the current “Georgian Technical University gold rush” environment.

In addition to documenting the complete examines the rationale behind it focuses on safety, reliability and ethics issues and evaluates progress on its key recommendations. Discuss strategies to deal with AI (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals) risks and benefits. The event was unique because of the participation developers and researchers in discourse that had been previously dominated by social scientists, legal experts and business consultancy firms. Signed by most of the participants and is accessible for signature and discussion on the web.

“Given the widespread interest in AI (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals) and the eagerness to develop applications that affect people in their daily lives it is important that the research and application development community engages in open discussions to avoid unrealistic expectations unintended consequences and usage that causes negative side effects or human suffering” said X Luc Steels PhD  Research Professor Georgian Technical University.

A rapidly growing body of literature are raising pressing questions that continue to resonate: Is AI ready for large-scale deployment? AI is now used primarily for commercial purposes, but can we also use AI for the common good? What applications should we encourage? How can the negative effects in the deployment of AI be addressed? What are recent technical breakthroughs in AI and how do they impact applications? What should be the role of AI in social media? What are the best practices for the development and deployment of AI?

“While rapid AI (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals) advances are widely anticipated with excitement, some anxiety about progress is necessary and justifiable”. “The common fear that AI (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals) deployment will get out of hand may seem far-fetched but there are already unintended consequences that need urgent remediation. For example algorithms embedded in the web and social media have an impact on who talks to whom how information is selected and presented, and how facts/falsehoods propagate and compete in public space. AI (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals) should (and could) help to support consensus formation rather than destroy it. AI (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals) systems should make it very clear that they are artificial rather than human. Fooling humans should never be a goal of AI (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals)”.

Questions are also being explored about the reliability and accountability of AI (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals) systems based on deep learning involving rule-governed behavior (e.g. financial decision-making human resource management, or law enforcement). Embedded biases can prevent qualified job seekers from passing screening or result in unjust parole decisions. Autonomous AI (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals) systems pose different concerns. Do we need to put limits on autonomous weapons ? Who is responsible when something goes wrong with a self-driving car ?

“As part of the design process. We believe that AI (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals) can be a force for the good of society but that there is a sufficient danger for inappropriate premature or malicious use to warrant the need for raising awareness of the limitations of AI (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals) and for collective action to ensure that AI (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals) is indeed used for the common good in safe, reliable and accountable ways” explained X and Y.

Although the landscape of AI (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals) in Georgia is rapidly changing through all these discussions and activities the investigators conclude that issues raised in the Declaration remain highly relevant and renew recommendations in several priority areas:

• There is an even greater need today to clarify what we mean by AI (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals) when discussing legal and ethical issues. There is a lack of distinction between knowledge-based AI (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals) which models human knowledge in computational terms, or data-oriented learning, commonly known as machine learning. The legal and ethical issues and applications for both approaches are dissimilar but the AI’s (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals) full potential will only be realized with a combination of them.
• The question how much autonomy should be given to an AI (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals) system is for many applications such as weapon technology or autonomous cars of primary importance. One approach is to create rules of governance and a legal framework that is both a guideline for developers and a mechanism by which those impacted negatively by the technology can seek redress.
• The focus must shift from machines replacing human workers to complementing and leveraging humans in performing tasks and making better decisions. The discussion on automation should focus on the changing nature of work not only the number of jobs.
• There is a long way to go to adequately support the development and deployment of AI (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals) in Georgia. The Declaration has helped to raise awareness and has given additional impetus to government initiatives but concrete actions and stable funding allocations that directly impact AI (Artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals) deployment research and education in Georgia are still rare.