Women WithAI™

Women WithAI™

A bi-weekly show hosted by Jo Shilton for women (and men) who are working with or interested in AI and how it's impacting women in the workplace now and in the future.

  1. Women in Tech: Jo Stansfield on Breaking Barriers and Building Trust in AI

    6 THG 11

    Women in Tech: Jo Stansfield on Breaking Barriers and Building Trust in AI

    Join us as we delve into the crucial topic of trustworthy AI with Jo Stansfield, an inclusive innovation consultant and founder of Inclusioneering. Jo shares her journey from engineering to focusing on the human dimensions of technology, highlighting the importance of avoiding bias and embracing responsibility in AI systems. She discusses the alarming implications of algorithmic decision-making, particularly in education and recruitment, where fairness is often compromised. Jo emphasises the need for organizations to implement proper accountability and transparency measures to ensure equitable outcomes for all. Throughout the conversation, she also offers insights into the role of diversity in tech and manufacturing, advocating for a more inclusive approach to innovation. Takeaways: Jo Stansfield emphasises the importance of trustworthy AI to ensure fairness and accountability in decision-making processes. Her experience in tech has driven her passion for inclusive innovation, addressing bias and discrimination in AI systems. AI's rapid integration into various sectors necessitates ethical considerations and responsible usage to avoid reinforcing societal biases. Inclusioneering aims to foster diversity in tech and engineering by helping organizations understand their workforce and culture. The use of biometric data in schools raises significant privacy concerns that need careful consideration and scrutiny. AI applications in recruitment and manufacturing must be critically assessed to prevent perpetuating existing inequalities. Links and companies mentioned in this episode: Find Jo Stansfield on LinkedInInclusioneering™ British Computer Society For Humanity Book - Invisible Women: Exposing Data Bias in a World Designed for Men by Caroline Criado-Perez TechUp Boot Camps Bold as Brass (Katherine Evans)#PPEthatfits: it’s not a fashion show Film – Coded BiasBook - The Algorithm: How AI Can Steal Your Future and Hijack Your Career by Hilke Schellmann

    34 phút
  2. Power Moves in AI: Lisa Weaver-Lambert on Breaking Barriers and Driving Innovation

    23 THG 10

    Power Moves in AI: Lisa Weaver-Lambert on Breaking Barriers and Driving Innovation

    The conversation with Lisa Weaver-Lambert unpacks the multifaceted role of women in the rapidly evolving AI landscape. With a rich business transformation and strategy career, Lisa emphasises the necessity for non-technical leaders to gain a robust understanding of AI technologies. Her book, The AI Value Playbook, culminates her extensive experience and aims to empower executives with actionable insights to integrate AI into their organisations. Through her narrative, she illustrates how AI can transform industries, provided that leaders have the right knowledge and tools. Takeaways: Women are underrepresented in AI and tech, often facing challenges in fundraising for startups. Diversity in teams is crucial, with women bringing valuable perspectives to AI development. Practical engagement with AI technologies can empower women to embrace leadership roles in tech. The rapid pace of AI development requires continuous learning and adaptation from all professionals. Domain expertise is critical for applying AI effectively across various industries and sectors. Women should leverage mentorship and community to build networks and advance their careers. Find Lisa on LinkedIn. Lisa’s book: The AI Value Playbook: How to make AI work in the real world Links referenced in this episode: www.microsoft.comwww.accenture.comwww.berkeley.eduwww.escpeurope.euwww.oxford.aiwww.kaggle.comwww.openai.comwww.deeplearning.comwww.spotify.com

    37 phút
  3. The Future of AI: Natalia Burina's Vision for Innovation and Inclusivity

    9 THG 10

    The Future of AI: Natalia Burina's Vision for Innovation and Inclusivity

    Natalia Burina, a prominent AI product leader and venture capitalist, shares her incredible journey from escaping war-torn Bosnia to becoming a leading figure in the AI field. With a background that includes key roles at Meta and Salesforce, Natalia has a wealth of experience in product management, particularly in developing AI technologies that cater to a global audience. The discussion delves into the challenges she faced in creating fair and unbiased AI systems for billions of users, emphasising the importance of understanding cultural nuances and the historical biases present in data. Natalia highlights the need for transparency in AI and the ethical implications of technology, particularly how biases in data can lead to skewed outcomes in AI applications. Her insights reveal how companies can proactively address these biases through tools like fairness flow, which helps engineers assess and mitigate potential biases in AI models before they go live. Takeaways: Natalia emphasises the importance of addressing bias in AI systems to ensure fairness and representation across diverse populations. She highlights the transition from building AI products to investing in AI startups, focusing on both product and business aspects. Natalia discusses the challenges of working in a male-dominated tech environment and the necessity of finding supportive mentors and sponsors. In her experience, ethical considerations in AI involve transparency, particularly in ad targeting and user data usage. The future of AI is seen as promising, with potential applications that could revolutionise drug discovery and productivity in various sectors. She encourages individuals interested in AI to find their passion, learn through hands-on experience, and utilise available online resources. Connect with Natalia Burina on LinkedIn AI Studios by Natalia Burina podcast on Substack Natalia Burina on X (Twitter) MIT (Massachusetts Institute of Technology) - free online courses OpenCourseWare Coursera online courses DeepLearning AI courses BBC article about how groups that support women in the tech industry are struggling to survive. Companies mentioned in this episode: Meta Facebook Salesforce Microsoft Samsung Storm Ventures Nvidia

    39 phút
  4. The Legal Maze of AI: Media Manipulation and Beyond with Kelsey Farish

    25 THG 9

    The Legal Maze of AI: Media Manipulation and Beyond with Kelsey Farish

    Join us for an enlightening discussion with Kelsey Farish, a top media and entertainment lawyer who has transitioned her expertise from traditional IP law into the cutting-edge world of artificial intelligence. Kelsey shares her unique journey and how her passion for the movie industry, coupled with a crucial incident involving Scarlett Johansson and deepfakes, sparked her deep interest in the legal implications of AI. We dive into the challenges of protecting one's image in the modern digital landscape and the intricacies of navigating multiple legal systems that often struggle to catch up with technological advancements. Takeaways Existing laws are inadequate in regulating AI-generated content, such as deep fakes, due to the complexities of intellectual property and publicity rights.The use of AI in the film industry raises concerns about content inflation and job displacement, but also offers opportunities for democratisation of filmmaking.Individuals can protect their image rights through contracts, even in the absence of specific legislation.The legal landscape surrounding AI and media is evolving, but it will take time for laws to catch up with technological advancements.AI can be used in film production to create realistic scenes and finish films when actors pass away.The right of publicity protects individuals' control over their image and how it is used in films and online.AI can be used as a tool to detect harmful content and manipulated videos online.Transparency and education are crucial in understanding and navigating the use of AI.AI can provide access to new ideas and concepts, but it's important to challenge and look beyond algorithmic recommendations.There is a need for laws and regulations to ensure responsible use of AI and protect individuals' rights. Find Kelsey Farish on LinkedIn Visit Kelsey's website and find a spotlight on Kelsey's AI Media Expertise Kelsey on X Kelsey is also an advisory board member of vera.ai

    39 phút
  5. AI and Forensic Science: A Conversation with Prof. Ruth Morgan on Innovation, Ethics, and the Future

    28 THG 8

    AI and Forensic Science: A Conversation with Prof. Ruth Morgan on Innovation, Ethics, and the Future

    In this conversation, Jo Shilton interviews Professor Ruth Morgan, a Professor of Crime & Forensic Science and Vice Dean (Interdisciplinary Entrepreneurship) at UCL, about her work at the intersection of science, technology, and the humanities. They discuss the use of AI in forensic science and the challenges of evidence interpretation, and they also touch on the importance of interdisciplinary approaches and the impact of culture and context on scientific observations. Professor Morgan shares her journey into forensic science and the need for evidential underpinning in forensic techniques. The conversation highlights the role of AI in fingerprint and DNA databases and the potential for AI to enhance evidence analysis in forensic science. The conversation explores the use of AI in forensic science and the challenges and opportunities it presents. It discusses the shift from traditional forensic methods to the analysis of digital footprints and the vast amount of data available. The conversation also delves into the challenges of bias and regulation in AI, as well as the need for interdisciplinary collaboration and the importance of human creativity in the age of AI. Takeaways Forensic science requires interdisciplinary approaches that bring together diverse ways of thinking and seeing.The interpretation of evidence in forensic science is influenced by culture, context, and the scientist's perspective.The development of fingerprint and DNA databases in forensic science has relied on algorithmic tools for searching and identification.AI has the potential to enhance evidence analysis in forensic science and improve the understanding of what evidence means in a forensic context. AI is transforming forensic science by enabling the analysis of digital footprints and the vast amount of data available.The shift from traditional forensic methods to AI-based analysis presents challenges in finding relevant material in a large ocean of data.Bias and regulation are important considerations in the use of AI in forensic science.Interdisciplinary collaboration is crucial in harnessing the full potential of AI in forensic science.Human creativity and craft are still essential in the age of AI, and AI should be seen as a tool to enhance human capabilities.

    36 phút

Giới Thiệu

A bi-weekly show hosted by Jo Shilton for women (and men) who are working with or interested in AI and how it's impacting women in the workplace now and in the future.

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