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Navigating the Ethical Labyrinth of AI and ML: A Deep Dive into Accountability, Bias, and Diversity

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Manage episode 436242304 series 3420924
Contenuto fornito da SheCanCode. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da SheCanCode o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

We delve into the intricate web of ethical considerations surrounding the ubiquitous integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies. Join us as we confront the ethical challenges head-on, exploring the profound implications they carry for society at large.

Charlotte Byrne, Stephanie Quan and Emily Rudolph from Capco dissect the inherent biases entrenched within training data and algorithmic decision-making processes, shedding light on how these biases perpetuate systemic inequalities, particularly among marginalized communities. We engage in a candid discussion about the urgent need for proactive measures to address these biases, both in the workplace and beyond.

Furthermore, we interrogate the role of training programs in equipping individuals to wield AI and ML tools responsibly, and the potential ramifications on performance management when these tools are wielded without adequate understanding.

Tune in as we navigate the ethical labyrinth of AI and ML, striving towards a future where technology empowers rather than marginalizes.

SheCanCode is a collaborative community of women in tech working together to tackle the tech gender gap.
Join our community to find a supportive network, opportunities, guidance and jobs, so you can excel in your tech career.

  continue reading

Capitoli

1. Navigating Ethical Considerations in AI (00:00:00)

2. Impact of Biases in AI (00:10:43)

3. Ethical Considerations in AI Diversity (00:17:54)

4. Interacting With AI in Daily Life (00:25:22)

5. Importance of Ethical AI Governance (00:30:52)

6. Future of Ethical AI Development (00:39:26)

170 episodi

Artwork
iconCondividi
 
Manage episode 436242304 series 3420924
Contenuto fornito da SheCanCode. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da SheCanCode o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

We delve into the intricate web of ethical considerations surrounding the ubiquitous integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies. Join us as we confront the ethical challenges head-on, exploring the profound implications they carry for society at large.

Charlotte Byrne, Stephanie Quan and Emily Rudolph from Capco dissect the inherent biases entrenched within training data and algorithmic decision-making processes, shedding light on how these biases perpetuate systemic inequalities, particularly among marginalized communities. We engage in a candid discussion about the urgent need for proactive measures to address these biases, both in the workplace and beyond.

Furthermore, we interrogate the role of training programs in equipping individuals to wield AI and ML tools responsibly, and the potential ramifications on performance management when these tools are wielded without adequate understanding.

Tune in as we navigate the ethical labyrinth of AI and ML, striving towards a future where technology empowers rather than marginalizes.

SheCanCode is a collaborative community of women in tech working together to tackle the tech gender gap.
Join our community to find a supportive network, opportunities, guidance and jobs, so you can excel in your tech career.

  continue reading

Capitoli

1. Navigating Ethical Considerations in AI (00:00:00)

2. Impact of Biases in AI (00:10:43)

3. Ethical Considerations in AI Diversity (00:17:54)

4. Interacting With AI in Daily Life (00:25:22)

5. Importance of Ethical AI Governance (00:30:52)

6. Future of Ethical AI Development (00:39:26)

170 episodi

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