Difference between revisions of "Submissions:2023/Artificial intelligence as promise and peril"

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|theme=Technology
 
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|type=Lightning talk
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|abstract=Artificial Intelligence (AI) has the potential to revolutionize various domains of human activity, but it also presents both a promise and a peril to society. AI can improve efficiency, productivity, and decision-making in fields like healthcare, finance, transportation, and education. Its ability to process vast amounts of data and identify patterns can enhance diagnostics, accelerate drug discovery, optimize financial operations, enable autonomous vehicles, and personalize learning experiences. However, the rapid growth of AI raises concerns about ethical issues surrounding privacy, data security, and algorithmic bias. The displacement of human labor by automation raises concerns about job loss and socioeconomic inequality. Additionally, the risks associated with AI malfunction or manipulation can have devastating consequences, such as autonomous weapons or a global AI arms race.
 
|abstract=Artificial Intelligence (AI) has the potential to revolutionize various domains of human activity, but it also presents both a promise and a peril to society. AI can improve efficiency, productivity, and decision-making in fields like healthcare, finance, transportation, and education. Its ability to process vast amounts of data and identify patterns can enhance diagnostics, accelerate drug discovery, optimize financial operations, enable autonomous vehicles, and personalize learning experiences. However, the rapid growth of AI raises concerns about ethical issues surrounding privacy, data security, and algorithmic bias. The displacement of human labor by automation raises concerns about job loss and socioeconomic inequality. Additionally, the risks associated with AI malfunction or manipulation can have devastating consequences, such as autonomous weapons or a global AI arms race.
   

Revision as of 13:22, 13 June 2023

This submission has been noted and is pending review for WikiConference North America 2023.



Title:

Artificial intelligence as promise and peril

Theme:

Technology

Type of session:

Lecture

Abstract:

Artificial Intelligence (AI) has the potential to revolutionize various domains of human activity, but it also presents both a promise and a peril to society. AI can improve efficiency, productivity, and decision-making in fields like healthcare, finance, transportation, and education. Its ability to process vast amounts of data and identify patterns can enhance diagnostics, accelerate drug discovery, optimize financial operations, enable autonomous vehicles, and personalize learning experiences. However, the rapid growth of AI raises concerns about ethical issues surrounding privacy, data security, and algorithmic bias. The displacement of human labor by automation raises concerns about job loss and socioeconomic inequality. Additionally, the risks associated with AI malfunction or manipulation can have devastating consequences, such as autonomous weapons or a global AI arms race.

To balance the promise and peril of AI, society must consider the ethical implications of AI technology, such as privacy and algorithmic bias. Case studies where AI has malfunctioned or made critical decisions without human intervention demand careful ethical considerations and robust governance frameworks. Addressing the promise and peril of AI requires a multidisciplinary approach, including collaboration between technologists, policymakers, ethicists, and social scientists. Regulation and standards that protect privacy, mitigate bias, and ensure transparency are crucial for building trust and fostering responsible AI use.

In conclusion, harnessing the promise of AI while effectively addressing its perils can unlock its transformative potential and build a future where AI serves as a powerful tool for human advancement rather than a threat to our well-being.

Author name:

Santosh Shingare

E-mail address:

cherishsantosh@gmail.com

Wikimedia username:

cherishsantosh

Affiliated organization(s):

Wikimedia affiliate

Estimated time:

30m

Special requests:

Have you presented on this topic previously? If yes, where/when?:

No

Okay to livestream?

Livestreaming is okay

If your submission is not accepted, would you be open to presenting your topic in another part of the program? (e.g. lightning talk or unconference session)

Yes