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Monday, September 2nd, 2019

    Time Event
    2:19p
    Security updates for Monday
    Security updates have been issued by Debian (gosa, libav, libextractor, nghttp2, pump, and python2.7), Fedora (dovecot, mod_http2, and pango), Gentoo (dovecot, gnome-desktop, libofx, and nautilus), Mageia (ansible, ghostscript, graphicsmagick, memcached, mpg123, pango, vlc, wavpack, webmin, wireshark, and wpa_supplicant, hostapd), openSUSE (flatpak, libmirage, podman, slirp4netns and libcontainers-common, python-SQLAlchemy, and qemu), Red Hat (ghostscript, java-1.8.0-ibm, and squid:4), and SUSE (kernel, libsolv, libzypp, zypper, NetworkManager, nodejs10, nodejs8, perl, python-Django, and python-SQLAlchemy).
    5:32p
    Kernel prepatch 5.3-rc7
    The 5.3-rc7 kernel prepatch is out for
    testing, one day later than usual. The final 5.3 release may also be
    delayed a week to accommodate Linus's travel schedule: "So I do
    suspect that with my timing (and a number of other developers are probably
    going to be traveling for LPC and KS too) I'll just make an rc8 even if it
    turns this Labor Day week ends up being very quiet and there might not be
    any _technical_ reason to delay the release.
    "
    11:16p
    [$] Bias and ethical issues in machine-learning models
    The success stories that have gathered around data analytics
    drive broader adoption of the newest artificial-intelligence-based
    techniques—but risks
    come along with these techniques. The large numbers of freshly
    anointed data scientists piling into industry and the sensitivity of the
    areas given over to machine-learning models—hiring, loans, even
    sentencing for crime—means there is a danger of misapplied models,
    which is earning the
    attention of the public. Two sessions at the recent MinneBOS
    2019
    conference focused on maintaining ethics and
    addressing
    bias in machine-learning applications.

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